Kaggle Titanic Competition - Data Exploration & Model Building

Objectives

1. End to end analysis using R
2. Learn the caret package for ML
3. Learn to present the case using R Notebooks

---

Read in the dataset

I stored the raw files on Github, so I used RCurl with Wehrley’s method that utilizes read.csv to the fullest. It’s one of the best ways I’ve found to read in data and also set data-types at the same time. He’s done a great job on that function. The dataset contains one ID variable, one response variable and ten predictor variables.

library(RCurl,quietly = T)
library(tidyverse,quietly = T)
library(ggplot2,quietly = T)
library(gridExtra,quietly = T)
library(Amelia,quietly = T)
library(beanplot,quietly = T)
library(caret,quietly = T)
library(stringr,quietly = T)
library(party, quietly = T)
# library(rattle, quietly = T)
readData <- function(path.name, file.name, column.types, missing.types) {
    gurl <- paste(path.name,file.name,sep="")
    download.file(gurl,file.name,method="curl",quiet = T)
    tbl_df(read.csv(file.name,colClasses=column.types,
             na.strings=missing.types))
}
Titanic.path <- "https://raw.githubusercontent.com/rsangole/Titanic/master/"
train.data.file <- "train.csv"
test.data.file <- "test.csv"
missing.types <- c("NA", "")
train.column.types <- c('integer',   # PassengerId
                        'factor',    # Survived
                        'factor',    # Pclass
                        'character', # Name
                        'factor',    # Sex
                        'numeric',   # Age
                        'integer',   # SibSp
                        'integer',   # Parch
                        'character', # Ticket
                        'numeric',   # Fare
                        'character', # Cabin
                        'factor'     # Embarked
)
test.column.types <- train.column.types[-2]     # # no Survived column in test.csv
train.raw <- readData(Titanic.path, train.data.file,train.column.types,missing.types)
test.raw <- readData(Titanic.path, test.data.file,test.column.types,missing.types)
prep_data <- function(D) {
    if (!is.null(D$Survived)) {
        D$Survived <- factor(D$Survived,
                             levels = c(1, 0),
                             labels = c('Survived', 'Dead'))
        }
    D$Pclass <- factor(D$Pclass,
                       levels = c(1, 2, 3),
                       labels = c('P1', 'P2', 'P3'))
    D$PassengerId <- NULL
    D
}
train.raw <- prep_data(train.raw)
test.raw <- prep_data(test.raw)
str(train.raw)

Classes ‘tbl_df’, ‘tbl’ and 'data.frame':   891 obs. of  11 variables:
 $ Survived: Factor w/ 2 levels "Survived","Dead": 2 1 1 1 2 2 2 2 1 1 ...
 $ Pclass  : Factor w/ 3 levels "P1","P2","P3": 3 1 3 1 3 3 1 3 3 2 ...
 $ Name    : chr  "Braund, Mr. Owen Harris" "Cumings, Mrs. John Bradley (Florence Briggs Thayer)" "Heikkinen, Miss. Laina" "Futrelle, Mrs. Jacques Heath (Lily May Peel)" ...
 $ Sex     : Factor w/ 2 levels "female","male": 2 1 1 1 2 2 2 2 1 1 ...
 $ Age     : num  22 38 26 35 35 NA 54 2 27 14 ...
 $ SibSp   : int  1 1 0 1 0 0 0 3 0 1 ...
 $ Parch   : int  0 0 0 0 0 0 0 1 2 0 ...
 $ Ticket  : chr  "A/5 21171" "PC 17599" "STON/O2. 3101282" "113803" ...
 $ Fare    : num  7.25 71.28 7.92 53.1 8.05 ...
 $ Cabin   : chr  NA "C85" NA "C123" ...
 $ Embarked: Factor w/ 3 levels "C","Q","S": 3 1 3 3 3 2 3 3 3 1 ...

---

Missing values analysis

Quick investigation of missing values can be done using the complete.cases(), and more thorough graphical summary can be done using Amelia. Overall, 79% of the observations have some missing data.

#Complete cases (percentages)
round(prop.table(table(complete.cases(train.raw))),2)

FALSE  TRUE 
 0.79  0.21 

Amelia lets us graphically investigate which variables have missing data. purr::map_xxx() gives this same information numerically in a succint fashion.

missmap(train.raw, main='Missing Values Analysis using Amelia ordered by % missing', col=c('red', 'gray'),legend = F,rank.order = T)

#Missing cases (numbers):
map_int(train.raw,~sum(is.na(.x)))

Survived   Pclass     Name      Sex      Age    SibSp    Parch   Ticket     Fare    Cabin Embarked 
       0        0        0        0      177        0        0        0        0      687        2 

#Missing cases (percentages):
round(map_dbl(train.raw,~sum(is.na(.x))/length(.x)),2)

Survived   Pclass     Name      Sex      Age    SibSp    Parch   Ticket     Fare    Cabin Embarked 
    0.00     0.00     0.00     0.00     0.20     0.00     0.00     0.00     0.00     0.77     0.00 

Cabin has a large number of missing values (77% missing). Imputing this variable may prove challenging or even useless. Age (19.9% missing) and Embarked (0.2%) missing are much more managable.

---

EDA

The first step in the analysis is to explore the data numerically and graphically. I always split up my EDA investigation as follows:

• Target Variable
• Predictor Variables
  • Univariate
  • Bivariate
  • Multivariate

This gives me a structured approach towards larger datasets. My professor at Northwestern taught me to always complete a thorough intimate numeric & graphical EDA on the data, no matter how large the data ¹. Anscombe (1973) clearly shows the importance of graphical analyses.

Target Variable

Survived is the response variable. As we can see, a large majority of the passengers did not survive the accident. The response variable is a False/True boolean variable. Thus, the analysis techniques used later will be those appropriate for classification problems.

round(prop.table(table(train.raw$Survived)),2)

Survived     Dead 
    0.38     0.62 

---

Predictor Variables

Univariate & Bivariate

The first step is to look at every variable available. I prefer using the ggplot2 framework for all the visuals.

Continuous Variables

• Age seems to have a bimodal distribution - very young children, and then directly young adults to mid-age persons. The 2nd mode is right skewed with no obvious outliers.

• Fare certainly shows many outliers beyond the ~$200 level. A majority of the fares are <$50, which makes sense since a majority of the travelers are bound to be in the 3rd passenger class.

p1 <- ggplot(data=train.raw,aes(x=Age))+geom_histogram(bins = 40)
p2 <- ggplot(data=train.raw,aes(x=Fare))+geom_histogram(bins = 40)
grid.arrange(p1,p2)

As we can see, the median fare is $14.5, the mean is $32, but the max is $512. We’ll investigate winzorising this variable in the latter part. Perhaps a transformation will also help?

summary(train.raw$Fare)

   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   0.00    7.91   14.45   32.20   31.00  512.33 

Categorical Variables

A ggplot command is iterated over for the categorical variables.²

Key takeways for the categorical variables:

1. Pclass: If you were traveling 1st class, you have the highest chance of survival. Could be indicative of preferential treatment to those who paid more, a less politically correct class-stratified society, as well as the fact that the 1st class passengers had cabins at the very top of the ship.
2. Pclass: Persons traveling 3rd class had the highest fatality rate. 3rd class passengers had cabins deep in the ship. With the reasons give in (1), this could have contributed to the low survival rate.
3. Sex: Males have a very high fatality rate. Seems like the ‘women and children’ first policy was followed during evacuation.
4. SibSp & Parch: What’s interesting here is, for both these variables, at level 0, the fatality rate is higher. At levels 1+, the chances of survival are much better. Again, this could point to the ‘women and children’ policy being followed. (Or perhaps there weren’t as many families with children on board!)
5. Embarked: Southampton has a higher fatality rate than Cherbourg or Queenstown. A cross-tabulation between Embarked and Pclass shows that 72% of the 3rd class passengers and 89% of the 2nd class passengers boarded at Southampton. This jives with the observation that 2nd and 3rd class passengers have higher fatality rates.

get_legend<-function(myggplot){
  tmp <- ggplot_gtable(ggplot_build(myggplot))
  leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
  legend <- tmp$grobs[[leg]]
  return(legend)
}
p <- lapply(X = c('Pclass','Sex','SibSp','Parch','Embarked'),
            FUN = function(x) ggplot(data = train.raw)+
                aes_string(x=x,fill='Survived')+
                geom_bar(position="dodge")+
                theme(legend.position="none"))
legend <- get_legend(ggplot(data = train.raw,aes(x=Pclass,fill=Survived))+geom_bar())
grid.arrange(p[[1]],p[[2]],p[[3]],p[[4]],p[[5]],legend,layout_matrix =
                 cbind(c(1,2,3),c(4,5,NA),c(6,6,6)),widths=c(3,3,1))

# round(prop.table(table(train.raw$Embarked,train.raw$Pclass),margin = 2),2)

Multivariate Analyses

Grouped boxplots are a common method of comparing distributions grouped by categorical variables. I find beanplots to be excellent complementary plots to boxplots (and in some cases, even better). They’re a bit tricky to read at first - since they are so underutilized - but just through one plot, a wealth of information can be extracted.³

Here is a comparison of the same information between a boxplot and a beanplot. What can we infer from the bean plot better?

1. The beanplot allows us to visualize the density function of the parameter, in this case: Age. Furthermore, the length of each beanline is cumulative to the number of datapoints that exist. Rightaway, we can tell that Pclass=3 has the most data in the set, with sparser data at Pclass=1.
2. The mean values for 1st class is higher than that for 2nd and 3rd class. The distributions of deceased and survived for 1st class are fairly similar.
3. For 2nd and 3rd class, the survived data shows a bimodal distribution. Bumps at the 0-10 age show that children were evacuated first. This is also the reason the mean values for survived is lower.
4. For 2nd and 3rd class, the deceased data shows a fairly normal distribution.
5. The individual measurements (represented by black lines) represent each observation and help identify outliers much more easily than a boxplot does.

ggplot(train.raw,aes(y=Age,x=Pclass))+geom_boxplot(aes(fill=Survived))+theme_bw()

beanplot(Age~Survived*Pclass,side='b',train.raw,col=list('yellow','orange'),
         border = c('yellow2','darkorange'),ll = 0.05,boxwex = .5,
         main='Passenger survival by pclass and Age',xlab='Passenger Class',ylab='Age')
legend('topright', fill = c('yellow','orange'), legend = c("Dead", "Survived"),bty = 'n',cex = .8)

A look into the SibSp and Parch variables shows something interesting. There are three regions one can identify:

• The probability of survival is minimal for number of parents/children aboard > 3.
• The probability of survival is minimal for number of siblings/spouses aboard > 3.
• For SibSp<=3 and Parch<=3, there are better chances for survival.

The grouping by Pclass reveals that all the large families were 3rd class travelers. Worse access to help… lowest chance for survival.

These could be simple rules either hard coded during model building: something along the lines of: IF (SibSp>3 OR Parch >3) THEN prediction = 0, or some derived variables can be created.

ggplot(train.raw,aes(y=SibSp,x=Parch))+
    geom_jitter(aes(color=Survived,shape=Pclass))+
    theme_bw()+
    scale_shape(solid=F)+
    geom_vline(xintercept = 3,color='darkblue',lty=3)+
    geom_hline(yintercept = 3,color='darkblue',lty=3)

---

Data Preparation

Missing Values Imputation

Starting with the easier one first:

Embarked: The largest portion of the passengers embared at Southhampton. I’m replacing the NAs with the same. First, I create a new imputed training dataset.

summary(train.raw$Embarked)

   C    Q    S NA's 
 168   77  644    2 

train.imp <- train.raw
train.imp$Embarked[is.na(train.imp$Embarked)] <- 'S'

Names, Titles & Age:

The names have titles embedded in the strings. I can extract these using regex. Master, Miss, Mr and Mrs are the most popular - no surprise there, with lots of other titles. Here’s the distribution of the titles by age. These can be used to impute the missing age values.

train.imp$title <- str_extract(pattern = '[a-zA-Z]+(?=\\.)',string = train.imp$Name)
train.imp$title <- as.factor(train.imp$title)
train.imp %>%
    na.omit() %>%
    group_by(title) %>%
    dplyr::summarise(Count=n(), Median_Age=round(median(Age),0)) %>%
    arrange(-Median_Age)

ggplot(train.imp,aes(x=title,y=Age))+
    stat_summary(aes(y = Age,group=1), fun.y=median, colour="red", geom="point",group=1)+
    geom_jitter(shape=21,alpha=.6,col='blue')+
    theme_bw()+
    theme(axis.text.x = element_text(angle = 45, hjust = 1),legend.position="none")+
    labs(caption='Red points are median values')

Grouping similar titles together, I’ve kept a few titles - Officer, Royalty, Mr, Mrs and Miss.

train.imp$title <- as.character(train.imp$title)
train.imp$title[train.imp$title %in% c('Col','Major')] <- 'Officer'
train.imp$title[train.imp$title %in% c('Don','Dr','Rev','Sir','Jonkheer','Countess','Lady','Dona')] <- 'Royalty'
train.imp$title[train.imp$title %in% c('Mrs','Mme')] <- 'Mrs'
train.imp$title[train.imp$title %in% c('Ms','Mlle')] <- 'Miss'
train.imp$title <- as.factor(train.imp$title)

ggplot(train.imp,aes(x=title,y=Age))+
    geom_jitter(color='blue',shape=21,alpha=.7)+
    stat_summary(aes(y = Age,group=1), fun.y=median, colour="red", geom="point",group=1)+
    theme_bw()+
    theme(axis.text.x = element_text(angle = 45, hjust = 1))+
    labs(caption='Red points are median values')

Now for the missing Age values. I’m trying out two strategies to impute age, just for kicks. First, a regression tree using the rpart method. 5-repeat 10-fold cross validation across a tuning grid of 20 values of maxdepth. RMSE stablizes at a depth of 14, with a value of 12.2.

age.predictors <- train.imp %>%
    dplyr::select(-Survived,-Cabin,-Ticket,-Name) %>%
    filter(complete.cases(.))
set.seed(1234)
ctrl <- trainControl(method = "boot",
                     repeats = 5,
                     number = 200
                     )
rpartGrid <- data.frame(maxdepth = seq(4,20,2))
rpartFit <- train(Age~.,
                  data=age.predictors,
                  method='rpart2',
                  trControl = ctrl,
                  tuneGrid = rpartGrid
                  )

Loading required package: rpart

rpartFit

CART 

714 samples
  7 predictor

No pre-processing
Resampling: Bootstrapped (200 reps) 
Summary of sample sizes: 714, 714, 714, 714, 714, 714, ... 
Resampling results across tuning parameters:

  maxdepth  RMSE      Rsquared 
   4        11.67106  0.3585743
   6        11.45138  0.3836998
   8        11.38112  0.3928021
  10        11.41985  0.3905082
  12        11.42967  0.3898210
  14        11.43107  0.3897181
  16        11.43164  0.3896674
  18        11.43164  0.3896674
  20        11.43164  0.3896674

RMSE was used to select the optimal model using  the smallest value.
The final value used for the model was maxdepth = 8.

plot(rpartFit)

plot(rpartFit$finalModel,margin=0.02)
text(rpartFit$finalModel,cex=0.8)

Another way is to run a randomforest with a search over values of mtry using 5-repeat 10-fold cross validation. As we can see mtry=4 is the optimal value which results in the lowest RMSE of 11.4; much better than the rpart model.

set.seed(1234)
rfGrid <- data.frame(mtry=seq(1,6,1))
ctrl <- trainControl(method = "repeatedcv",
                     repeats = 5
                     )
rfFit <- train(Age~.,
                  data=age.predictors,
                  method='rf',
                  trControl = ctrl,
                  tuneGrid = rfGrid)

Loading required package: randomForest
randomForest 4.6-12
Type rfNews() to see new features/changes/bug fixes.

Attaching package: ‘randomForest’

The following object is masked from ‘package:gridExtra’:

    combine

The following object is masked from ‘package:dplyr’:

    combine

The following object is masked from ‘package:ggplot2’:

    margin

rfFit

Random Forest 

714 samples
  7 predictor

No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times) 
Summary of sample sizes: 644, 642, 642, 642, 643, 641, ... 
Resampling results across tuning parameters:

  mtry  RMSE      Rsquared 
  1     12.20913  0.4119240
  2     11.10796  0.4373821
  3     10.86967  0.4445102
  4     10.86663  0.4422116
  5     10.93245  0.4361199
  6     11.02962  0.4280304

RMSE was used to select the optimal model using  the smallest value.
The final value used for the model was mtry = 4.

plot(rfFit)

I’m going to use the randomForest model. Using the predict.train() to predict values of age and plug them back into the imputed data. You can see the blue points which are the imputed values of Age. What I noticed is that for all the titles, the imputed Age value seems to be distributed fairly well, except Master. For Master, the three imputed are definitely outliers. I’m going to force these to the median Age.

missing.age <- train.imp %>% filter(is.na(Age))
age.predicted <- predict(rfFit, newdata = missing.age)
train.imp %>%
    mutate(AgeMissing = is.na(Age),
           Age = ifelse(AgeMissing,age.predicted,Age)) %>%
    ggplot(aes(x=title,y=Age))+
    stat_summary(aes(y = Age,group=1), fun.y=median, colour="red", geom="point",group=1)+
    geom_jitter(aes(y=Age,col=AgeMissing),shape=2)+
    theme_bw()+
    theme(axis.text.x = element_text(angle = 45, hjust = 1),legend.position="none")+
    labs(caption='Red points are median values')

train.imp$Age[is.na(train.imp$Age)] <- age.predicted
train.imp$Age[train.imp$title=='Master' & train.imp$Age > 20] <- median(train.imp$Age[train.imp$title=='Master'],na.rm = T)

Derived Variables

Child?: Trying out two engineered variables here - is the passenger a child or not? Using Age=18 as a threshold. And is s/he close enough to be considered a adult by chance? Those between 16 and 18 could be mistaken for not being children. (My way of incorporating a fudge factor in the decision process of ladies & children first.)

train.imp$child <- 0
train.imp$child[train.imp$Age<18] <- 1
train.imp$almostadult <- as.numeric(between(train.imp$Age,16,18))

Really young, or really old?: Really young ones and older folks would get priority perhaps. Creating two categorical binary variables for these conditions.

train.imp$Young <- ifelse(train.imp$Age<10,1,0)
train.imp$Seniors <- ifelse(train.imp$Age>60,1,0)

Family related: Let’s also create some variables that talk about family sizes. What’s the total family size – continous variable TotalFam. Is the person single, part of a couple or a large family? Three categorical variables for these.

train.imp$TotalFam <- train.imp$SibSp + train.imp$Parch + 1
train.imp$LargeParCh <- as.numeric(train.imp$Parch>=3)
train.imp$LargeSibSp <- as.numeric(train.imp$SibSp>=3)
train.imp$Single <- ifelse(train.imp$TotalFam==1,1,0)
train.imp$Couple <- ifelse(train.imp$TotalFam==2,1,0)
train.imp$Family <- ifelse(train.imp$TotalFam>4,1,0)
train.imp$Name <- NULL

Cabin related: Extracting the cabin alphabet and number from the cabin variable. Since the cabin numbers could be ordered from left to right or top to bottom on the boat, perhaps only the 1st digit is significant. Also, some folks have more than 1 cabin. Wonder if that’s important. Since lots of unknowns in the Cabin variable, all NA values are replaced by ‘U’. Refering to the deck diagram, the topmost decks are A and B, which are closest to the lifeboats. Perhaps that’s important too. Here, I create a bunch of categorical variables based off the original Cabin, and then remove it from the dataset.

train.imp$CabinMissing <- as.numeric(is.na(train.raw$Cabin))
train.imp$CabinCode <- map_chr(train.raw$Cabin,~str_split(string = .x,pattern = '')[[1]][1])
train.imp$CabinCode[is.na(train.imp$CabinCode)] <- 'U'
train.imp$CabinNum <- as.numeric(map_chr(train.raw$Cabin,~str_split(string = .x,pattern = '[a-zA-Z]')[[1]][2]))
train.imp$CabinNum <- map_int(train.imp$CabinNum, ~as.integer(str_split(.x,pattern = '',simplify = T)[1][1]))
train.imp$CabinNum[is.na(train.imp$CabinNum)] <- 0
train.imp$TopDeck <- ifelse(train.imp$CabinCode %in% c('A','B'),1,0)
train.imp$MidDeck <- ifelse(train.imp$CabinCode %in% c('C','D'),1,0)
train.imp$LowerDeck <- ifelse(train.imp$TopDeck==0 & train.imp$MidDeck ==0 ,1,0)
train.imp$NumberofCabins <- map_int(train.raw$Cabin,~str_split(string = .x,pattern = ' ')[[1]] %>% length)
train.imp$Cabin <- NULL

Ticket: Lastly, the ticket variable. I’m not sure what to make of it, so I’m keeping it for now, after cleaning it up a bit. A majority (80%) of the rows have unique (one) ticket. 14% rows have a duplicate ticket, perhaps indicating a family. A small number of rows have 3+ duplicates of the tickets.

train.imp$Ticket %>% table() %>% as.numeric() %>% table()

.
  1   2   3   4   5   6   7 
547  94  21  11   2   3   3 

There seems to be a bit of a pattern here. Tickets starting with 1 are mostly 1st class, those starting with 2 are 2nd class, and 3 - 3rd class. But, I feel it’s a very loose association.

train.imp %>% group_by(Pclass) %>% dplyr::select(Ticket,Pclass) %>% sample_n(5)

What I’m going to do is clean up the columns (remove special characters, spaces etc), then split the Ticket column into four: TicketChar, TicketNum,TicketNumLength, TicketNumStart. (Upon running the script a few times, I’ve decided to get rid of TicketNum, but I’m commenting the code for future ref). The TicketChar variable as this distribution:

train.imp %<>%
    mutate(
        Ticket = str_to_upper(Ticket) %>%
            str_replace_all(pattern = regex(pattern = '[.\\/]'),replacement = ''),
        TicketNum = str_extract(Ticket,pattern = regex('([0-9]){3,}')),
        TicketNumStart = map_int(TicketNum,~as.integer(str_split(.x,pattern = '',simplify = T)[1])),
        TicketNumLen = map_int(TicketNum,~dim(str_split(.x,pattern = '',simplify = T))[2]),
        TicketChar = str_extract(Ticket,pattern = regex('^[a-zA-Z/\\.]+')) 
        ) %>%
     mutate(
         TicketChar = map_chr(.x=TicketChar,
                              .f=~str_split(string=.x, pattern = '',simplify = T)[1])
         ) %>%     
    mutate(
        TicketChar = ifelse(is.na(TicketChar),'U',TicketChar),
        TicketNumStart = ifelse(is.na(TicketNumStart),0,TicketNumStart),
        TicketNumLen = ifelse(is.na(TicketNumLen),0,TicketNumLen),
    )
train.imp$Ticket <- NULL
train.imp$TicketNum <- NULL
table(train.imp$TicketChar,dnn ='TicketChar')

TicketChar
  A   C   F   L   P   S   U   W 
 29  47   7   4  65  65 661  13 

table(train.imp$TicketNumLen,dnn='TicketNumLen')

TicketNumLen
  1   3   4   5   6   7 
  6   7 165 246 423  44 

table(train.imp$TicketNumStart,dnn='TicketNumStart')

TicketNumStart
  0   1   2   3   4   5   6   7   8   9 
  6 231 230 365  15   9  14  15   3   3 

Winzoring Variables

The fare variable has one massive outlier. Winzorising this variable using the 95th percentile value as the cutoff.

# ggplot(train.imp,aes(x=Fare,fill=Pclass))+geom_histogram()+facet_grid(Pclass~.)
# quantile(train.imp$Fare[train.imp$Pclass=='P1'],probs = c(.1,.25,.5,.75,.95))
# train.imp$Fare[train.imp$Fare>232] <- 232

Final Data Review

The dataset is now prepared for modeling. Here’s a quick review of the data so far. 29 variables in total.

train.imp %>% glimpse()

Observations: 891
Variables: 29
$ Survived       <fctr> Dead, Survived, Survived, Survived, Dead, Dead, Dead, Dead, Survived, Surv...
$ Pclass         <fctr> P3, P1, P3, P1, P3, P3, P1, P3, P3, P2, P3, P1, P3, P3, P3, P2, P3, P2, P3...
$ Sex            <fctr> male, female, female, female, male, male, male, male, female, female, fema...
$ Age            <dbl> 22.00000, 38.00000, 26.00000, 35.00000, 35.00000, 34.39817, 54.00000, 2.000...
$ SibSp          <int> 1, 1, 0, 1, 0, 0, 0, 3, 0, 1, 1, 0, 0, 1, 0, 0, 4, 0, 1, 0, 0, 0, 0, 0, 3, ...
$ Parch          <int> 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 1, 0, 0, 5, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, ...
$ Fare           <dbl> 7.2500, 71.2833, 7.9250, 53.1000, 8.0500, 8.4583, 51.8625, 21.0750, 11.1333...
$ Embarked       <fctr> S, C, S, S, S, Q, S, S, S, C, S, S, S, S, S, S, Q, S, S, C, S, S, Q, S, S,...
$ title          <fctr> Mr, Mrs, Miss, Mrs, Mr, Mr, Mr, Master, Mrs, Mrs, Miss, Miss, Mr, Mr, Miss...
$ child          <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, ...
$ almostadult    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
$ Young          <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, ...
$ Seniors        <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
$ TotalFam       <dbl> 2, 2, 1, 2, 1, 1, 1, 5, 3, 2, 3, 1, 1, 7, 1, 1, 6, 1, 2, 1, 1, 1, 1, 1, 5, ...
$ LargeParCh     <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
$ LargeSibSp     <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, ...
$ Single         <dbl> 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, ...
$ Couple         <dbl> 1, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, ...
$ Family         <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, ...
$ CabinMissing   <dbl> 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, ...
$ CabinCode      <chr> "U", "C", "U", "C", "U", "U", "E", "U", "U", "U", "G", "C", "U", "U", "U", ...
$ CabinNum       <dbl> 0, 8, 0, 1, 0, 0, 4, 0, 0, 0, 6, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 6, 0, ...
$ TopDeck        <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, ...
$ MidDeck        <dbl> 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, ...
$ LowerDeck      <dbl> 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, ...
$ NumberofCabins <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
$ TicketNumStart <dbl> 2, 1, 3, 1, 3, 3, 1, 3, 3, 2, 9, 1, 2, 3, 3, 2, 3, 2, 3, 2, 2, 2, 3, 1, 3, ...
$ TicketNumLen   <int> 5, 5, 7, 6, 6, 6, 5, 6, 6, 6, 4, 6, 4, 6, 6, 6, 6, 6, 6, 4, 6, 6, 6, 6, 6, ...
$ TicketChar     <chr> "A", "P", "S", "U", "U", "U", "U", "U", "U", "U", "P", "U", "A", "U", "U", ...

---

Modeling

I’m experimenting with a few modeling techniques, mainly xgboost, gbm, and penalized models using glmnet. I’ve implemented all these models using caret which I find an absolutely indispensible toolkit to prep, build, tune and explore numerous models using very few lines of code.

For all models, I’m using a 5-repeat 10-fold cross validation technique on the training dataset. Thus, I have not split the training dataset further into test-train sets, given the small number of observations in the dataset.

Furthermore, given the 80:20 class-imbalance, I’m also trying out smote as an class balancing technique for a few models.

Tuning parameter searches (aka hypertuning) is performed using the tuneGrid parameter in the train() call. The best model is selected using the AUC of the ROC. Here are the models and a few intermediate results for each model. At the end, I’ve compared the performance of all the models together.

Extreme Gradient Boosting (xgboost - 5repeat-10fold-cv - smaller dataset)

ctrl <- trainControl(method = "repeatedcv",
                     repeats = 5,
                     verboseIter = T,
                     classProbs = TRUE,
                     summaryFunction = twoClassSummary
                     # sampling = 'smote'
                     )
set.seed(1)
xgbGrid <- expand.grid(
    nrounds=c(2,3,4,5,6,7),
    max_depth=c(2,3,4,5,6,7),
    eta=c(0.3,0.5),
    gamma=1,
    colsample_bytree=1,
    min_child_weight=1,
    subsample=1
)
df.smaller <- train.imp %>% dplyr::select(
    -almostadult, -LargeParCh, - LargeSibSp,-CabinMissing,-TopDeck,-MidDeck,-LowerDeck,-NumberofCabins
)
dumV <- dummyVars(formula = Survived~.,data = df.smaller)
Dtrain <- predict(dumV,df.smaller)

variable 'Survived' is not a factor

xgbsmallFit <- train(
    x=Dtrain,
    y=train.imp$Survived,
    method = 'xgbTree',
    trControl = ctrl,
    # metric = "Kappa",
    tuneGrid = xgbGrid,
    verbose = TRUE
)

The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
Aggregating results
Selecting tuning parameters
Fitting nrounds = 7, max_depth = 7, eta = 0.3, gamma = 1, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set

save(xgbsmallFit,file = 'xgbsmallFit')
xgbsmallFit

eXtreme Gradient Boosting 

891 samples
 46 predictor
  2 classes: 'Survived', 'Dead' 

No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times) 
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ... 
Resampling results across tuning parameters:

  eta  max_depth  nrounds  ROC        Sens       Spec     
  0.3  2          2        0.8556884  0.6334118  0.8885387
  0.3  2          3        0.8654604  0.7113109  0.8703232
  0.3  2          4        0.8658020  0.7357983  0.8670505
  0.3  2          5        0.8695347  0.7258487  0.8754411
  0.3  2          6        0.8714482  0.7328908  0.8695960
  0.3  2          7        0.8714367  0.7363529  0.8772593
  0.3  3          2        0.8738100  0.7328571  0.8736094
  0.3  3          3        0.8789159  0.7468403  0.8753805
  0.3  3          4        0.8811594  0.7328067  0.8804848
  0.3  3          5        0.8807526  0.7316471  0.8805051
  0.3  3          6        0.8796571  0.7310588  0.8808822
  0.3  3          7        0.8783530  0.7310420  0.8826869
  0.3  4          2        0.8740871  0.7445546  0.8721212
  0.3  4          3        0.8771368  0.7357143  0.8779461
  0.3  4          4        0.8797836  0.7426555  0.8786801
  0.3  4          5        0.8791655  0.7368739  0.8794074
  0.3  4          6        0.8796093  0.7315630  0.8826801
  0.3  4          7        0.8779942  0.7264202  0.8856229
  0.3  5          2        0.8718708  0.7451933  0.8666330
  0.3  5          3        0.8764574  0.7346723  0.8732391
  0.3  5          4        0.8778251  0.7440000  0.8746869
  0.3  5          5        0.8790201  0.7429244  0.8779596
  0.3  5          6        0.8827990  0.7387563  0.8867273
  0.3  5          7        0.8830757  0.7411597  0.8874478
  0.3  6          2        0.8700716  0.7346050  0.8666599
  0.3  6          3        0.8740757  0.7415966  0.8750303
  0.3  6          4        0.8777554  0.7451092  0.8801481
  0.3  6          5        0.8803514  0.7462857  0.8878249
  0.3  6          6        0.8815923  0.7445042  0.8907205
  0.3  6          7        0.8824275  0.7415462  0.8918249
  0.3  7          2        0.8706592  0.7346723  0.8677710
  0.3  7          3        0.8747489  0.7358151  0.8827071
  0.3  7          4        0.8775146  0.7369580  0.8878182
  0.3  7          5        0.8798191  0.7428067  0.8921953
  0.3  7          6        0.8840126  0.7428403  0.8914613
  0.3  7          7        0.8844278  0.7428403  0.8903636
  0.5  2          2        0.8560680  0.6396975  0.8867205
  0.5  2          3        0.8630652  0.7305378  0.8732525
  0.5  2          4        0.8662158  0.7293445  0.8732525
  0.5  2          5        0.8682644  0.7381345  0.8732458
  0.5  2          6        0.8690259  0.7369076  0.8747138
  0.5  2          7        0.8714859  0.7357143  0.8794545
  0.5  3          2        0.8738361  0.7276471  0.8757576
  0.5  3          3        0.8772491  0.7398992  0.8754209
  0.5  3          4        0.8758445  0.7305714  0.8889226
  0.5  3          5        0.8759446  0.7276303  0.8885724
  0.5  3          6        0.8767676  0.7288235  0.8874815
  0.5  3          7        0.8753185  0.7316471  0.8896498
  0.5  4          2        0.8749563  0.7351933  0.8819394
  0.5  4          3        0.8786638  0.7288235  0.8805253
  0.5  4          4        0.8774636  0.7117479  0.8874343
  0.5  4          5        0.8770289  0.7153109  0.8910909
  0.5  4          6        0.8787153  0.7205714  0.8943704
  0.5  4          7        0.8778633  0.7275630  0.8932727
  0.5  5          2        0.8750314  0.7353277  0.8691919
  0.5  5          3        0.8757035  0.7264538  0.8798182
  0.5  5          4        0.8771633  0.7305378  0.8860067
  0.5  5          5        0.8797299  0.7293782  0.8896431
  0.5  5          6        0.8774501  0.7293950  0.8918249
  0.5  5          7        0.8765938  0.7287563  0.8943771
  0.5  6          2        0.8726515  0.7316639  0.8779663
  0.5  6          3        0.8782474  0.7281849  0.8892660
  0.5  6          4        0.8814875  0.7351765  0.8889293
  0.5  6          5        0.8813645  0.7339832  0.8903973
  0.5  6          6        0.8795382  0.7304202  0.8922088
  0.5  6          7        0.8794079  0.7333613  0.8882088
  0.5  7          2        0.8750772  0.7375462  0.8794343
  0.5  7          3        0.8783561  0.7392101  0.8881953
  0.5  7          4        0.8772103  0.7345714  0.8900067
  0.5  7          5        0.8775341  0.7333277  0.8936296
  0.5  7          6        0.8799568  0.7327395  0.8932727
  0.5  7          7        0.8803333  0.7344538  0.8903636

Tuning parameter 'gamma' was held constant at a value of 1
Tuning
 parameter 'min_child_weight' was held constant at a value of 1
Tuning parameter
 'subsample' was held constant at a value of 1
ROC was used to select the optimal model using  the largest value.
The final values used for the model were nrounds = 7, max_depth = 7, eta = 0.3, gamma =
 1, colsample_bytree = 1, min_child_weight = 1 and subsample = 1.

plot(xgbsmallFit)

xgb.importance(feature_names = colnames(Dtrain),model = xgbsmallFit$finalModel) %>%
    xgb.ggplot.importance()

densityplot(xgbsmallFit,pch='|')

predict(xgbsmallFit,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)

Extreme Gradient Boosting (xgboost - 5repeat-10fold-cv)

ctrl <- trainControl(method = "repeatedcv",
                     repeats = 5,
                     verboseIter = T,
                     classProbs = TRUE,
                     summaryFunction = twoClassSummary
                     # sampling = 'smote'
                     )
set.seed(1)
xgbGrid <- expand.grid(
    nrounds=c(2,3,4,5,6,7),
    max_depth=c(2,3,4,5,6,7),
    eta=c(0.3,0.5),
    gamma=1,
    colsample_bytree=1,
    min_child_weight=1,
    subsample=1
)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)

variable 'Survived' is not a factor

xgbFit <- train(
    x=Dtrain,
    y=train.imp$Survived,
    method = 'xgbTree',
    trControl = ctrl,
    # metric = "Kappa",
    tuneGrid = xgbGrid,
    verbose = TRUE
)

The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
Aggregating results
Selecting tuning parameters
Fitting nrounds = 7, max_depth = 6, eta = 0.3, gamma = 1, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set

save(xgbFit,file = 'xgbFit')
xgbFit

eXtreme Gradient Boosting 

891 samples
 54 predictor
  2 classes: 'Survived', 'Dead' 

No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times) 
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ... 
Resampling results across tuning parameters:

  eta  max_depth  nrounds  ROC        Sens       Spec     
  0.3  2          2        0.8556884  0.6334118  0.8885387
  0.3  2          3        0.8654604  0.7113109  0.8703232
  0.3  2          4        0.8658020  0.7357983  0.8670505
  0.3  2          5        0.8695347  0.7258487  0.8754411
  0.3  2          6        0.8714482  0.7328908  0.8695960
  0.3  2          7        0.8714367  0.7363529  0.8772593
  0.3  3          2        0.8738046  0.7328571  0.8736094
  0.3  3          3        0.8788411  0.7468403  0.8753805
  0.3  3          4        0.8809543  0.7328067  0.8804848
  0.3  3          5        0.8806980  0.7316471  0.8805051
  0.3  3          6        0.8795269  0.7304706  0.8808822
  0.3  3          7        0.8784369  0.7310420  0.8826869
  0.3  4          2        0.8744658  0.7451092  0.8728485
  0.3  4          3        0.8772540  0.7345378  0.8804916
  0.3  4          4        0.8796549  0.7409244  0.8812256
  0.3  4          5        0.8796899  0.7350924  0.8794074
  0.3  4          6        0.8795376  0.7304202  0.8830438
  0.3  4          7        0.8790546  0.7293445  0.8859865
  0.3  5          2        0.8721729  0.7422857  0.8666330
  0.3  5          3        0.8765540  0.7346555  0.8721481
  0.3  5          4        0.8775033  0.7381345  0.8772323
  0.3  5          5        0.8795628  0.7416639  0.8794209
  0.3  5          6        0.8815285  0.7392773  0.8896364
  0.3  5          7        0.8817230  0.7364538  0.8889024
  0.3  6          2        0.8695118  0.7311429  0.8677508
  0.3  6          3        0.8740689  0.7386891  0.8793939
  0.3  6          4        0.8775060  0.7376303  0.8812458
  0.3  6          5        0.8807806  0.7410420  0.8910976
  0.3  6          6        0.8823535  0.7410252  0.8940000
  0.3  6          7        0.8843208  0.7375294  0.8925589
  0.3  7          2        0.8698308  0.7311429  0.8681212
  0.3  7          3        0.8735798  0.7392437  0.8826936
  0.3  7          4        0.8775160  0.7375126  0.8863636
  0.3  7          5        0.8804058  0.7351765  0.8870909
  0.3  7          6        0.8817557  0.7399160  0.8892795
  0.3  7          7        0.8829669  0.7386555  0.8892795
  0.5  2          2        0.8560680  0.6396975  0.8867205
  0.5  2          3        0.8630652  0.7305378  0.8732525
  0.5  2          4        0.8662158  0.7293445  0.8732525
  0.5  2          5        0.8682644  0.7381345  0.8732458
  0.5  2          6        0.8690695  0.7369076  0.8747138
  0.5  2          7        0.8715458  0.7357143  0.8794545
  0.5  3          2        0.8738148  0.7276471  0.8757576
  0.5  3          3        0.8771514  0.7398992  0.8754209
  0.5  3          4        0.8760675  0.7299832  0.8900135
  0.5  3          5        0.8772045  0.7288235  0.8874815
  0.5  3          6        0.8775496  0.7317647  0.8874680
  0.5  3          7        0.8765915  0.7310588  0.8878316
  0.5  4          2        0.8750142  0.7334454  0.8826667
  0.5  4          3        0.8794175  0.7311597  0.8816162
  0.5  4          4        0.8791478  0.7199832  0.8881616
  0.5  4          5        0.8785016  0.7211261  0.8899798
  0.5  4          6        0.8797678  0.7223193  0.8947205
  0.5  4          7        0.8776500  0.7216975  0.8965455
  0.5  5          2        0.8754529  0.7329916  0.8710101
  0.5  5          3        0.8765714  0.7334118  0.8812727
  0.5  5          4        0.8785961  0.7324034  0.8863704
  0.5  5          5        0.8805149  0.7264874  0.8900000
  0.5  5          6        0.8771990  0.7218151  0.8910976
  0.5  5          7        0.8783431  0.7241008  0.8914613
  0.5  6          2        0.8713455  0.7246723  0.8765118
  0.5  6          3        0.8780508  0.7311092  0.8845320
  0.5  6          4        0.8798216  0.7351429  0.8874747
  0.5  6          5        0.8809679  0.7351597  0.8925522
  0.5  6          6        0.8799391  0.7252269  0.8940135
  0.5  6          7        0.8799535  0.7257143  0.8910976
  0.5  7          2        0.8749475  0.7364034  0.8805118
  0.5  7          3        0.8789942  0.7375294  0.8921953
  0.5  7          4        0.8795107  0.7398319  0.8914545
  0.5  7          5        0.8795336  0.7327899  0.8921751
  0.5  7          6        0.8819705  0.7357143  0.8928956
  0.5  7          7        0.8817717  0.7346050  0.8961818

Tuning parameter 'gamma' was held constant at a value of 1
Tuning
 parameter 'min_child_weight' was held constant at a value of 1
Tuning parameter
 'subsample' was held constant at a value of 1
ROC was used to select the optimal model using  the largest value.
The final values used for the model were nrounds = 7, max_depth = 6, eta = 0.3, gamma =
 1, colsample_bytree = 1, min_child_weight = 1 and subsample = 1.

plot(xgbFit)

xgb.importance(feature_names = colnames(Dtrain),model = xgbFit$finalModel) %>%
    xgb.ggplot.importance()

densityplot(xgbFit,pch='|')

predict(xgbFit,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)

Extreme Gradient Boosting (xgboost - 5test-train split)

ctrl <- trainControl(method = 'LGOCV',
                     number = 50,
                     verboseIter = T,
                     classProbs = TRUE,
                     summaryFunction = twoClassSummary
                     # sampling = 'smote'
                     )
set.seed(1)
xgbGrid <- expand.grid(
    nrounds=c(2,3,4,5,6,7),
    max_depth=c(2,3,4,5,6,7),
    eta=c(0.3,0.5),
    gamma=1,
    colsample_bytree=1,
    min_child_weight=1,
    subsample=1
)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)

variable 'Survived' is not a factor

xgbFit.LGOCV <- train(
    x=Dtrain,
    y=train.imp$Survived,
    method = 'xgbTree',
    trControl = ctrl,
    # metric = "Kappa",
    tuneGrid = xgbGrid,
    verbose = TRUE
)

The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Resample01: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample01: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample01: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample02: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample02: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample03: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample03: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample04: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample04: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample05: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample05: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample06: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample06: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample07: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample07: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample08: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample08: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample09: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample09: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample10: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample10: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample11: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample11: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample12: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample12: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample13: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample13: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample14: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample14: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample15: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample15: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample16: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample16: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample17: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample17: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample18: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample18: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample19: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample19: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample20: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample20: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample21: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample21: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample22: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample22: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample23: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample23: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample24: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample24: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample25: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample25: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample26: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample26: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample27: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample27: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample28: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample28: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample29: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample29: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample30: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample30: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample31: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample31: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample32: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample32: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample33: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample33: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample34: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample34: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample35: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample35: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample36: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample36: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample37: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample37: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample38: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample38: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample39: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample39: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample40: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample40: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample41: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample41: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample42: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample42: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample43: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample43: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample44: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample44: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample45: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample45: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample46: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample46: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample47: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample47: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample48: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample48: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample49: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample49: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Resample50: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Resample50: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
Aggregating results
Selecting tuning parameters
Fitting nrounds = 7, max_depth = 5, eta = 0.3, gamma = 1, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set

save(xgbFit.LGOCV,file = 'xgbFit.LGOCV')
xgbFit.LGOCV

eXtreme Gradient Boosting 

891 samples
 54 predictor
  2 classes: 'Survived', 'Dead' 

No pre-processing
Resampling: Repeated Train/Test Splits Estimated (50 reps, 75%) 
Summary of sample sizes: 669, 669, 669, 669, 669, 669, ... 
Resampling results across tuning parameters:

  eta  max_depth  nrounds  ROC        Sens       Spec     
  0.3  2          2        0.8522473  0.6621176  0.8802920
  0.3  2          3        0.8600979  0.6950588  0.8747445
  0.3  2          4        0.8643727  0.7310588  0.8665693
  0.3  2          5        0.8672314  0.7254118  0.8702190
  0.3  2          6        0.8679571  0.7240000  0.8687591
  0.3  2          7        0.8687711  0.7270588  0.8680292
  0.3  3          2        0.8644096  0.7256471  0.8661314
  0.3  3          3        0.8704259  0.7336471  0.8670073
  0.3  3          4        0.8730915  0.7289412  0.8729927
  0.3  3          5        0.8748098  0.7280000  0.8743066
  0.3  3          6        0.8747462  0.7320000  0.8732847
  0.3  3          7        0.8746157  0.7261176  0.8779562
  0.3  4          2        0.8662198  0.7352941  0.8608759
  0.3  4          3        0.8697535  0.7277647  0.8700730
  0.3  4          4        0.8735492  0.7235294  0.8743066
  0.3  4          5        0.8740962  0.7216471  0.8760584
  0.3  4          6        0.8740627  0.7195294  0.8766423
  0.3  4          7        0.8746741  0.7183529  0.8781022
  0.3  5          2        0.8641717  0.7211765  0.8627737
  0.3  5          3        0.8678420  0.7223529  0.8661314
  0.3  5          4        0.8716900  0.7204706  0.8719708
  0.3  5          5        0.8742293  0.7256471  0.8747445
  0.3  5          6        0.8745633  0.7237647  0.8753285
  0.3  5          7        0.8762851  0.7230588  0.8808759
  0.3  6          2        0.8636883  0.7188235  0.8662774
  0.3  6          3        0.8680799  0.7143529  0.8732847
  0.3  6          4        0.8706166  0.7228235  0.8747445
  0.3  6          5        0.8731524  0.7225882  0.8751825
  0.3  6          6        0.8749996  0.7244706  0.8764964
  0.3  6          7        0.8755663  0.7247059  0.8795620
  0.3  7          2        0.8632151  0.7188235  0.8630657
  0.3  7          3        0.8677784  0.7143529  0.8737226
  0.3  7          4        0.8693517  0.7183529  0.8745985
  0.3  7          5        0.8729781  0.7277647  0.8767883
  0.3  7          6        0.8727265  0.7282353  0.8792701
  0.3  7          7        0.8742525  0.7301176  0.8801460
  0.5  2          2        0.8553748  0.6670588  0.8783942
  0.5  2          3        0.8626200  0.7117647  0.8699270
  0.5  2          4        0.8663924  0.7263529  0.8639416
  0.5  2          5        0.8695234  0.7242353  0.8703650
  0.5  2          6        0.8712057  0.7254118  0.8735766
  0.5  2          7        0.8718849  0.7254118  0.8756204
  0.5  3          2        0.8677913  0.7254118  0.8710949
  0.5  3          3        0.8717158  0.7214118  0.8716788
  0.5  3          4        0.8727583  0.7242353  0.8725547
  0.5  3          5        0.8728295  0.7103529  0.8832117
  0.5  3          6        0.8727849  0.7148235  0.8859854
  0.5  3          7        0.8727746  0.7157647  0.8833577
  0.5  4          2        0.8676230  0.7209412  0.8706569
  0.5  4          3        0.8720326  0.7209412  0.8737226
  0.5  4          4        0.8723495  0.7185882  0.8808759
  0.5  4          5        0.8706964  0.7115294  0.8845255
  0.5  4          6        0.8705255  0.7141176  0.8823358
  0.5  4          7        0.8715105  0.7178824  0.8816058
  0.5  5          2        0.8667239  0.7124706  0.8718248
  0.5  5          3        0.8702061  0.7160000  0.8745985
  0.5  5          4        0.8712735  0.7157647  0.8788321
  0.5  5          5        0.8728733  0.7136471  0.8830657
  0.5  5          6        0.8730262  0.7185882  0.8845255
  0.5  5          7        0.8730837  0.7214118  0.8820438
  0.5  6          2        0.8659493  0.7167059  0.8725547
  0.5  6          3        0.8695578  0.7209412  0.8735766
  0.5  6          4        0.8717630  0.7183529  0.8798540
  0.5  6          5        0.8730588  0.7197647  0.8801460
  0.5  6          6        0.8726028  0.7211765  0.8804380
  0.5  6          7        0.8718429  0.7232941  0.8814599
  0.5  7          2        0.8654032  0.7240000  0.8690511
  0.5  7          3        0.8700026  0.7237647  0.8731387
  0.5  7          4        0.8711370  0.7237647  0.8764964
  0.5  7          5        0.8721623  0.7275294  0.8804380
  0.5  7          6        0.8720687  0.7247059  0.8829197
  0.5  7          7        0.8715921  0.7256471  0.8830657

Tuning parameter 'gamma' was held constant at a value of 1
Tuning
 parameter 'min_child_weight' was held constant at a value of 1
Tuning parameter
 'subsample' was held constant at a value of 1
ROC was used to select the optimal model using  the largest value.
The final values used for the model were nrounds = 7, max_depth = 5, eta = 0.3, gamma =
 1, colsample_bytree = 1, min_child_weight = 1 and subsample = 1.

plot(xgbFit.LGOCV)

xgb.importance(feature_names = colnames(Dtrain),model = xgbFit.LGOCV$finalModel) %>%
    xgb.ggplot.importance()

densityplot(xgbFit.LGOCV,pch='|')

predict(xgbFit.LGOCV,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)

Extreme Gradient Boosting (xgboost) - SMOTE Sampling

ctrl <- trainControl(method = "repeatedcv",
                     repeats = 5,
                     verboseIter = T,
                     classProbs = TRUE,
                     summaryFunction = twoClassSummary,
                     sampling = 'smote'
                     )
xgbGrid <- expand.grid(
    nrounds=c(2,3,4,5,6,7),
    max_depth=c(2,3,4,5,6,7),
    eta=c(0.3,0.5),
    gamma=1,
    colsample_bytree=1,
    min_child_weight=1,
    subsample=1
)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)

variable 'Survived' is not a factor

set.seed(1)
xgbsmoteFit <- train(
    x=Dtrain,
    y=train.imp$Survived,
    method = 'xgbTree',
    trControl = ctrl,
    # metric = "Kappa",
    tuneGrid = xgbGrid,
    verbose = TRUE
)

The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 

Attaching package: ‘DMwR’

The following object is masked from ‘package:plyr’:

    join

- Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
Aggregating results
Selecting tuning parameters
Fitting nrounds = 5, max_depth = 4, eta = 0.5, gamma = 1, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set

save(xgbsmoteFit,file = 'xgbsmoteFit')
xgbsmoteFit

eXtreme Gradient Boosting 

891 samples
 54 predictor
  2 classes: 'Survived', 'Dead' 

No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times) 
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ... 
Addtional sampling using SMOTE

Resampling results across tuning parameters:

  eta  max_depth  nrounds  ROC        Sens       Spec     
  0.3  2          2        0.8425141  0.5939328  0.9082559
  0.3  2          3        0.8495148  0.6405882  0.9020606
  0.3  2          4        0.8549931  0.6597479  0.9017037
  0.3  2          5        0.8614070  0.6569580  0.9038519
  0.3  2          6        0.8631446  0.6602185  0.9045993
  0.3  2          7        0.8673478  0.6487899  0.9104512
  0.3  3          2        0.8617172  0.6277815  0.9166330
  0.3  3          3        0.8640528  0.6108067  0.9228215
  0.3  3          4        0.8636005  0.6107059  0.9257374
  0.3  3          5        0.8648109  0.6049580  0.9271852
  0.3  3          6        0.8677717  0.6043697  0.9275421
  0.3  3          7        0.8722376  0.6066555  0.9311852
  0.3  4          2        0.8606880  0.6018824  0.9319192
  0.3  4          3        0.8657498  0.6134286  0.9301347
  0.3  4          4        0.8691203  0.6094118  0.9366801
  0.3  4          5        0.8718354  0.6158487  0.9395758
  0.3  4          6        0.8746340  0.6058655  0.9424848
  0.3  4          7        0.8743984  0.6141008  0.9410236
  0.3  5          2        0.8593103  0.6011597  0.9326330
  0.3  5          3        0.8599967  0.5953613  0.9326263
  0.3  5          4        0.8647592  0.6069076  0.9351785
  0.3  5          5        0.8685488  0.6115966  0.9322626
  0.3  5          6        0.8715015  0.6081849  0.9351650
  0.3  5          7        0.8733777  0.6204538  0.9329899
  0.3  6          2        0.8573686  0.6194958  0.9242492
  0.3  6          3        0.8574173  0.6206555  0.9238788
  0.3  6          4        0.8616459  0.6195126  0.9260606
  0.3  6          5        0.8644280  0.6316807  0.9249630
  0.3  6          6        0.8688824  0.6340336  0.9242357
  0.3  6          7        0.8702099  0.6474454  0.9253266
  0.3  7          2        0.8588987  0.6287731  0.9209764
  0.3  7          3        0.8655801  0.6258655  0.9217172
  0.3  7          4        0.8678739  0.6365210  0.9238855
  0.3  7          5        0.8682270  0.6458487  0.9242357
  0.3  7          6        0.8690989  0.6505042  0.9235152
  0.3  7          7        0.8704751  0.6592605  0.9205993
  0.5  2          2        0.8489131  0.6374958  0.9082492
  0.5  2          3        0.8597241  0.6752101  0.8965791
  0.5  2          4        0.8640828  0.6272269  0.9159125
  0.5  2          5        0.8644620  0.6236639  0.9206195
  0.5  2          6        0.8694637  0.6189580  0.9231919
  0.5  2          7        0.8718436  0.6084370  0.9272054
  0.5  3          2        0.8619725  0.6208235  0.9224242
  0.5  3          3        0.8658253  0.6019832  0.9278990
  0.5  3          4        0.8679358  0.5978824  0.9297104
  0.5  3          5        0.8701401  0.6100840  0.9293333
  0.5  3          6        0.8745597  0.6065210  0.9344242
  0.5  3          7        0.8738510  0.6094958  0.9384512
  0.5  4          2        0.8633949  0.5978319  0.9435758
  0.5  4          3        0.8699653  0.6077983  0.9373939
  0.5  4          4        0.8758261  0.6049244  0.9384781
  0.5  4          5        0.8771886  0.6223697  0.9359259
  0.5  4          6        0.8767907  0.6211261  0.9366532
  0.5  4          7        0.8764811  0.6334622  0.9337306
  0.5  5          2        0.8605840  0.6012269  0.9301212
  0.5  5          3        0.8668207  0.6024538  0.9297239
  0.5  5          4        0.8706706  0.6158824  0.9286330
  0.5  5          5        0.8711896  0.6269580  0.9264512
  0.5  5          6        0.8715798  0.6438319  0.9242559
  0.5  5          7        0.8721973  0.6503361  0.9271650
  0.5  6          2        0.8615808  0.6229748  0.9198788
  0.5  6          3        0.8646834  0.6409916  0.9187609
  0.5  6          4        0.8671448  0.6427563  0.9162088
  0.5  6          5        0.8682921  0.6545546  0.9147475
  0.5  6          6        0.8709955  0.6627395  0.9125724
  0.5  6          7        0.8747280  0.6703529  0.9118384
  0.5  7          2        0.8663135  0.6382353  0.9249562
  0.5  7          3        0.8652528  0.6486723  0.9216970
  0.5  7          4        0.8690454  0.6597143  0.9191515
  0.5  7          5        0.8719608  0.6679328  0.9154949
  0.5  7          6        0.8742060  0.6737143  0.9166061
  0.5  7          7        0.8771303  0.6760672  0.9162492

Tuning parameter 'gamma' was held constant at a value of 1
Tuning
 parameter 'min_child_weight' was held constant at a value of 1
Tuning parameter
 'subsample' was held constant at a value of 1
ROC was used to select the optimal model using  the largest value.
The final values used for the model were nrounds = 5, max_depth = 4, eta = 0.5, gamma =
 1, colsample_bytree = 1, min_child_weight = 1 and subsample = 1.

plot(xgbsmoteFit)

xgb.importance(feature_names = colnames(Dtrain),model = xgbsmoteFit$finalModel)

xgb.importance(feature_names = colnames(Dtrain),model = xgbsmoteFit$finalModel) %>%
xgb.ggplot.importance()

densityplot(xgbsmoteFit,pch='|')

predict(xgbsmoteFit,type = 'raw') -> train.Class
predict(xgbsmoteFit,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)

Extreme Gradient Boosting (xgboost) - down Sampling

ctrl <- trainControl(method = "repeatedcv",
                     repeats = 5,
                     verboseIter = T,
                     classProbs = TRUE,
                     summaryFunction = twoClassSummary,
                     sampling = 'down'
                     )
xgbGrid <- expand.grid(
    nrounds=c(2,3,4,5,6,7),
    max_depth=c(2,3,4,5,6,7),
    eta=c(0.3,0.5),
    gamma=1,
    colsample_bytree=1,
    min_child_weight=1,
    subsample=1
)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)

variable 'Survived' is not a factor

set.seed(1)
xgbdownFit <- train(
    x=Dtrain,
    y=train.imp$Survived,
    method = 'xgbTree',
    trControl = ctrl,
    # metric = "Kappa",
    tuneGrid = xgbGrid,
    verbose = TRUE
)

The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep1: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep2: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep3: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep4: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold01.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold02.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold03.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold04.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold05.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold06.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold07.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold08.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold09.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.3, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=2, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=3, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=4, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=5, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=6, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
+ Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
- Fold10.Rep5: eta=0.5, max_depth=7, gamma=1, colsample_bytree=1, min_child_weight=1, subsample=1, nrounds=7 
Aggregating results
Selecting tuning parameters
Fitting nrounds = 6, max_depth = 5, eta = 0.3, gamma = 1, colsample_bytree = 1, min_child_weight = 1, subsample = 1 on full training set

save(xgbdownFit,file = 'xgbdownFit')
xgbdownFit

eXtreme Gradient Boosting 

891 samples
 54 predictor
  2 classes: 'Survived', 'Dead' 

No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times) 
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ... 
Addtional sampling using down-sampling

Resampling results across tuning parameters:

  eta  max_depth  nrounds  ROC        Sens       Spec     
  0.3  2          2        0.8569065  0.7830756  0.8181953
  0.3  2          3        0.8646085  0.7929580  0.8189158
  0.3  2          4        0.8656532  0.7777311  0.8287946
  0.3  2          5        0.8675271  0.7737479  0.8342626
  0.3  2          6        0.8677067  0.7743025  0.8375152
  0.3  2          7        0.8689836  0.7866050  0.8265993
  0.3  3          2        0.8670338  0.7958655  0.8102492
  0.3  3          3        0.8740388  0.7952941  0.8218788
  0.3  3          4        0.8763388  0.7929412  0.8321145
  0.3  3          5        0.8755633  0.7947395  0.8350034
  0.3  3          6        0.8769102  0.7947227  0.8371785
  0.3  3          7        0.8763294  0.7958824  0.8360943
  0.3  4          2        0.8683005  0.8052437  0.8097980
  0.3  4          3        0.8748413  0.7946555  0.8243973
  0.3  4          4        0.8763631  0.7987899  0.8280337
  0.3  4          5        0.8767028  0.7999160  0.8302155
  0.3  4          6        0.8758138  0.7993445  0.8353266
  0.3  4          7        0.8758979  0.8004874  0.8397104
  0.3  5          2        0.8687592  0.8105546  0.8083569
  0.3  5          3        0.8729325  0.8041513  0.8178047
  0.3  5          4        0.8744897  0.8052269  0.8247407
  0.3  5          5        0.8791556  0.8011933  0.8283704
  0.3  5          6        0.8797048  0.7977311  0.8298384
  0.3  5          7        0.8791130  0.7948235  0.8342357
  0.3  6          2        0.8648790  0.7982353  0.8054411
  0.3  6          3        0.8708474  0.7930420  0.8175017
  0.3  6          4        0.8731321  0.7947899  0.8200539
  0.3  6          5        0.8755724  0.7907227  0.8306128
  0.3  6          6        0.8760367  0.7877647  0.8338923
  0.3  6          7        0.8777414  0.7872437  0.8360741
  0.3  7          2        0.8668483  0.7883361  0.8138316
  0.3  7          3        0.8714196  0.7860168  0.8181886
  0.3  7          4        0.8713751  0.7889244  0.8218114
  0.3  7          5        0.8738966  0.7901345  0.8302020
  0.3  7          6        0.8760554  0.7860168  0.8313199
  0.3  7          7        0.8765147  0.7913109  0.8331178
  0.5  2          2        0.8614709  0.7971092  0.8069428
  0.5  2          3        0.8650012  0.7908235  0.8171178
  0.5  2          4        0.8665358  0.7895126  0.8182492
  0.5  2          5        0.8666689  0.7913445  0.8186128
  0.5  2          6        0.8690229  0.8000000  0.8156970
  0.5  2          7        0.8699018  0.8017311  0.8182559
  0.5  3          2        0.8719041  0.7843529  0.8284512
  0.5  3          3        0.8747690  0.7871765  0.8309966
  0.5  3          4        0.8733292  0.7830924  0.8357374
  0.5  3          5        0.8719538  0.7936134  0.8309966
  0.5  3          6        0.8718860  0.7977143  0.8233468
  0.5  3          7        0.8711722  0.8000336  0.8273401
  0.5  4          2        0.8723916  0.7937143  0.8273333
  0.5  4          3        0.8754068  0.7889580  0.8295421
  0.5  4          4        0.8731685  0.7889916  0.8368013
  0.5  4          5        0.8749604  0.7901345  0.8331987
  0.5  4          6        0.8747732  0.7866723  0.8353603
  0.5  4          7        0.8760036  0.7866555  0.8379125
  0.5  5          2        0.8721453  0.7948235  0.8292189
  0.5  5          3        0.8755147  0.7971429  0.8247407
  0.5  5          4        0.8755619  0.7942185  0.8328215
  0.5  5          5        0.8765030  0.7930420  0.8324512
  0.5  5          6        0.8766277  0.7982857  0.8375219
  0.5  5          7        0.8772076  0.7942353  0.8415488
  0.5  6          2        0.8699694  0.7959496  0.8203906
  0.5  6          3        0.8747820  0.7913109  0.8313535
  0.5  6          4        0.8769541  0.7866387  0.8419461
  0.5  6          5        0.8766016  0.7884034  0.8404983
  0.5  6          6        0.8766812  0.7895462  0.8415758
  0.5  6          7        0.8771913  0.7913445  0.8364916
  0.5  7          2        0.8695596  0.8042521  0.8156835
  0.5  7          3        0.8734176  0.8012773  0.8229562
  0.5  7          4        0.8777733  0.7982857  0.8265859
  0.5  7          5        0.8765978  0.8006218  0.8342626
  0.5  7          6        0.8771858  0.7924202  0.8320741
  0.5  7          7        0.8775482  0.7936134  0.8317037

Tuning parameter 'gamma' was held constant at a value of 1
Tuning
 parameter 'min_child_weight' was held constant at a value of 1
Tuning parameter
 'subsample' was held constant at a value of 1
ROC was used to select the optimal model using  the largest value.
The final values used for the model were nrounds = 6, max_depth = 5, eta = 0.3, gamma =
 1, colsample_bytree = 1, min_child_weight = 1 and subsample = 1.

plot(xgbdownFit)

xgb.importance(feature_names = colnames(Dtrain),model = xgbdownFit$finalModel)

xgb.importance(feature_names = colnames(Dtrain),model = xgbdownFit$finalModel) %>%
xgb.ggplot.importance()

densityplot(xgbdownFit,pch='|')

predict(xgbdownFit,type = 'raw') -> train.Class
predict(xgbdownFit,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)

Gradient Boosting (gbm)

ctrl <- trainControl(method = "repeatedcv",
                     repeats = 5,
                     verboseIter = T,
                     classProbs = TRUE,
                     summaryFunction = twoClassSummary,
                     adaptive = list(min = 5, alpha = 0.05, 
                                     method = "gls", complete = TRUE),
                     search = 'random'
                     )
gbmGrid <- expand.grid(
   n.trees=c(500,700,900,1100),
   interaction.depth=c(1,2,3),
   shrinkage=c(0.1,0.01),
   n.minobsinnode=10
)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)

variable 'Survived' is not a factor

set.seed(1)
boostFit <- train(
    x = Dtrain,
    y = train.imp$Survived,
    trControl=ctrl,
    method='gbm',
    tuneGrid=gbmGrid
)

Loading required package: gbm
Loading required package: survival

Attaching package: ‘survival’

The following object is masked from ‘package:caret’:

    cluster

Loading required package: splines
Loading required package: parallel
Loaded gbm 2.1.3
The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Fold01.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3258             nan     0.0100    0.0027
     2        1.3203             nan     0.0100    0.0028
     3        1.3146             nan     0.0100    0.0027
     4        1.3093             nan     0.0100    0.0026
     5        1.3040             nan     0.0100    0.0026
     6        1.2991             nan     0.0100    0.0025
     7        1.2941             nan     0.0100    0.0025
     8        1.2886             nan     0.0100    0.0023
     9        1.2832             nan     0.0100    0.0024
    10        1.2782             nan     0.0100    0.0023
    20        1.2360             nan     0.0100    0.0019
    40        1.1740             nan     0.0100    0.0013
    60        1.1258             nan     0.0100    0.0009
    80        1.0870             nan     0.0100    0.0008
   100        1.0570             nan     0.0100    0.0006
   120        1.0323             nan     0.0100    0.0005
   140        1.0111             nan     0.0100    0.0003
   160        0.9930             nan     0.0100    0.0003
   180        0.9771             nan     0.0100    0.0003
   200        0.9629             nan     0.0100    0.0002
   220        0.9512             nan     0.0100    0.0002
   240        0.9406             nan     0.0100    0.0002
   260        0.9320             nan     0.0100    0.0001
   280        0.9233             nan     0.0100    0.0001
   300        0.9152             nan     0.0100    0.0001
   320        0.9081             nan     0.0100   -0.0000
   340        0.9021             nan     0.0100    0.0000
   360        0.8960             nan     0.0100    0.0001
   380        0.8905             nan     0.0100   -0.0001
   400        0.8855             nan     0.0100    0.0000
   420        0.8807             nan     0.0100   -0.0000
   440        0.8762             nan     0.0100    0.0001
   460        0.8720             nan     0.0100    0.0001
   480        0.8681             nan     0.0100    0.0000
   500        0.8640             nan     0.0100   -0.0000
   520        0.8604             nan     0.0100    0.0000
   540        0.8573             nan     0.0100   -0.0000
   560        0.8538             nan     0.0100   -0.0000
   580        0.8503             nan     0.0100    0.0000
   600        0.8473             nan     0.0100    0.0000
   620        0.8445             nan     0.0100    0.0001
   640        0.8417             nan     0.0100    0.0000
   660        0.8394             nan     0.0100   -0.0000
   680        0.8368             nan     0.0100    0.0000
   700        0.8344             nan     0.0100    0.0000
   720        0.8319             nan     0.0100   -0.0000
   740        0.8298             nan     0.0100   -0.0001
   760        0.8276             nan     0.0100    0.0000
   780        0.8254             nan     0.0100    0.0000
   800        0.8231             nan     0.0100   -0.0000
   820        0.8208             nan     0.0100   -0.0000
   840        0.8188             nan     0.0100   -0.0000
   860        0.8167             nan     0.0100   -0.0000
   880        0.8150             nan     0.0100    0.0000
   900        0.8133             nan     0.0100   -0.0001
   920        0.8117             nan     0.0100   -0.0000
   940        0.8100             nan     0.0100   -0.0000
   960        0.8080             nan     0.0100   -0.0000
   980        0.8062             nan     0.0100   -0.0000
  1000        0.8046             nan     0.0100   -0.0000
  1020        0.8029             nan     0.0100   -0.0000
  1040        0.8013             nan     0.0100   -0.0000
  1060        0.7998             nan     0.0100   -0.0000
  1080        0.7983             nan     0.0100   -0.0000
  1100        0.7970             nan     0.0100   -0.0001

- Fold01.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3239             nan     0.0100    0.0036
     2        1.3168             nan     0.0100    0.0034
     3        1.3098             nan     0.0100    0.0034
     4        1.3029             nan     0.0100    0.0036
     5        1.2960             nan     0.0100    0.0031
     6        1.2897             nan     0.0100    0.0031
     7        1.2831             nan     0.0100    0.0031
     8        1.2770             nan     0.0100    0.0031
     9        1.2708             nan     0.0100    0.0031
    10        1.2648             nan     0.0100    0.0031
    20        1.2101             nan     0.0100    0.0023
    40        1.1251             nan     0.0100    0.0018
    60        1.0614             nan     0.0100    0.0013
    80        1.0137             nan     0.0100    0.0006
   100        0.9779             nan     0.0100    0.0007
   120        0.9489             nan     0.0100    0.0004
   140        0.9251             nan     0.0100    0.0004
   160        0.9062             nan     0.0100    0.0002
   180        0.8906             nan     0.0100    0.0002
   200        0.8769             nan     0.0100    0.0003
   220        0.8657             nan     0.0100    0.0002
   240        0.8566             nan     0.0100   -0.0000
   260        0.8474             nan     0.0100    0.0002
   280        0.8396             nan     0.0100    0.0001
   300        0.8314             nan     0.0100    0.0000
   320        0.8247             nan     0.0100   -0.0000
   340        0.8180             nan     0.0100    0.0001
   360        0.8119             nan     0.0100   -0.0003
   380        0.8064             nan     0.0100   -0.0000
   400        0.8010             nan     0.0100    0.0001
   420        0.7961             nan     0.0100   -0.0001
   440        0.7915             nan     0.0100   -0.0001
   460        0.7875             nan     0.0100   -0.0000
   480        0.7837             nan     0.0100   -0.0001
   500        0.7798             nan     0.0100   -0.0000
   520        0.7761             nan     0.0100   -0.0001
   540        0.7727             nan     0.0100   -0.0001
   560        0.7692             nan     0.0100   -0.0000
   580        0.7659             nan     0.0100   -0.0000
   600        0.7627             nan     0.0100   -0.0001
   620        0.7593             nan     0.0100   -0.0000
   640        0.7559             nan     0.0100   -0.0001
   660        0.7530             nan     0.0100   -0.0002
   680        0.7503             nan     0.0100   -0.0001
   700        0.7476             nan     0.0100   -0.0001
   720        0.7450             nan     0.0100   -0.0000
   740        0.7424             nan     0.0100   -0.0002
   760        0.7400             nan     0.0100    0.0000
   780        0.7368             nan     0.0100   -0.0001
   800        0.7345             nan     0.0100   -0.0002
   820        0.7322             nan     0.0100   -0.0000
   840        0.7300             nan     0.0100   -0.0001
   860        0.7277             nan     0.0100    0.0000
   880        0.7255             nan     0.0100   -0.0000
   900        0.7232             nan     0.0100   -0.0001
   920        0.7213             nan     0.0100   -0.0001
   940        0.7189             nan     0.0100   -0.0000
   960        0.7167             nan     0.0100   -0.0001
   980        0.7147             nan     0.0100   -0.0000
  1000        0.7127             nan     0.0100   -0.0000
  1020        0.7106             nan     0.0100   -0.0001
  1040        0.7087             nan     0.0100   -0.0001
  1060        0.7070             nan     0.0100   -0.0001
  1080        0.7050             nan     0.0100   -0.0001
  1100        0.7031             nan     0.0100   -0.0000

- Fold01.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3231             nan     0.0100    0.0040
     2        1.3150             nan     0.0100    0.0039
     3        1.3068             nan     0.0100    0.0038
     4        1.2990             nan     0.0100    0.0037
     5        1.2914             nan     0.0100    0.0035
     6        1.2843             nan     0.0100    0.0038
     7        1.2771             nan     0.0100    0.0034
     8        1.2696             nan     0.0100    0.0037
     9        1.2627             nan     0.0100    0.0032
    10        1.2558             nan     0.0100    0.0032
    20        1.1946             nan     0.0100    0.0027
    40        1.0991             nan     0.0100    0.0021
    60        1.0307             nan     0.0100    0.0012
    80        0.9801             nan     0.0100    0.0009
   100        0.9404             nan     0.0100    0.0006
   120        0.9112             nan     0.0100    0.0006
   140        0.8873             nan     0.0100    0.0004
   160        0.8683             nan     0.0100    0.0002
   180        0.8515             nan     0.0100    0.0003
   200        0.8370             nan     0.0100    0.0003
   220        0.8242             nan     0.0100   -0.0000
   240        0.8136             nan     0.0100   -0.0001
   260        0.8038             nan     0.0100   -0.0000
   280        0.7951             nan     0.0100    0.0001
   300        0.7873             nan     0.0100   -0.0000
   320        0.7799             nan     0.0100    0.0000
   340        0.7737             nan     0.0100   -0.0000
   360        0.7681             nan     0.0100   -0.0000
   380        0.7620             nan     0.0100   -0.0001
   400        0.7561             nan     0.0100   -0.0000
   420        0.7511             nan     0.0100    0.0001
   440        0.7462             nan     0.0100   -0.0001
   460        0.7416             nan     0.0100   -0.0001
   480        0.7367             nan     0.0100    0.0000
   500        0.7320             nan     0.0100   -0.0001
   520        0.7275             nan     0.0100   -0.0001
   540        0.7234             nan     0.0100    0.0000
   560        0.7194             nan     0.0100   -0.0001
   580        0.7153             nan     0.0100   -0.0001
   600        0.7114             nan     0.0100   -0.0000
   620        0.7077             nan     0.0100   -0.0001
   640        0.7042             nan     0.0100   -0.0001
   660        0.7008             nan     0.0100   -0.0001
   680        0.6974             nan     0.0100   -0.0000
   700        0.6940             nan     0.0100   -0.0001
   720        0.6907             nan     0.0100   -0.0000
   740        0.6872             nan     0.0100   -0.0001
   760        0.6835             nan     0.0100   -0.0001
   780        0.6806             nan     0.0100   -0.0001
   800        0.6778             nan     0.0100   -0.0001
   820        0.6749             nan     0.0100   -0.0002
   840        0.6725             nan     0.0100   -0.0001
   860        0.6697             nan     0.0100   -0.0001
   880        0.6674             nan     0.0100   -0.0001
   900        0.6650             nan     0.0100   -0.0001
   920        0.6621             nan     0.0100   -0.0001
   940        0.6596             nan     0.0100   -0.0001
   960        0.6570             nan     0.0100   -0.0000
   980        0.6546             nan     0.0100   -0.0002
  1000        0.6521             nan     0.0100   -0.0001
  1020        0.6500             nan     0.0100   -0.0001
  1040        0.6474             nan     0.0100    0.0000
  1060        0.6451             nan     0.0100   -0.0002
  1080        0.6424             nan     0.0100   -0.0000
  1100        0.6401             nan     0.0100   -0.0002

- Fold01.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2729             nan     0.1000    0.0270
     2        1.2315             nan     0.1000    0.0211
     3        1.1980             nan     0.1000    0.0170
     4        1.1673             nan     0.1000    0.0150
     5        1.1433             nan     0.1000    0.0091
     6        1.1200             nan     0.1000    0.0113
     7        1.1017             nan     0.1000    0.0103
     8        1.0840             nan     0.1000    0.0084
     9        1.0682             nan     0.1000    0.0067
    10        1.0527             nan     0.1000    0.0067
    20        0.9580             nan     0.1000    0.0022
    40        0.8813             nan     0.1000   -0.0003
    60        0.8428             nan     0.1000   -0.0000
    80        0.8188             nan     0.1000    0.0002
   100        0.8021             nan     0.1000   -0.0003
   120        0.7900             nan     0.1000   -0.0007
   140        0.7781             nan     0.1000   -0.0006
   160        0.7684             nan     0.1000   -0.0007
   180        0.7629             nan     0.1000   -0.0004
   200        0.7555             nan     0.1000   -0.0006
   220        0.7496             nan     0.1000   -0.0011
   240        0.7434             nan     0.1000   -0.0014
   260        0.7355             nan     0.1000    0.0001
   280        0.7311             nan     0.1000   -0.0004
   300        0.7265             nan     0.1000   -0.0004
   320        0.7236             nan     0.1000   -0.0011
   340        0.7222             nan     0.1000   -0.0004
   360        0.7178             nan     0.1000   -0.0006
   380        0.7138             nan     0.1000   -0.0011
   400        0.7098             nan     0.1000   -0.0006
   420        0.7062             nan     0.1000   -0.0008
   440        0.7034             nan     0.1000   -0.0011
   460        0.7012             nan     0.1000   -0.0010
   480        0.6986             nan     0.1000   -0.0011
   500        0.6960             nan     0.1000   -0.0008
   520        0.6937             nan     0.1000   -0.0008
   540        0.6907             nan     0.1000   -0.0004
   560        0.6881             nan     0.1000   -0.0007
   580        0.6869             nan     0.1000   -0.0012
   600        0.6844             nan     0.1000   -0.0006
   620        0.6825             nan     0.1000   -0.0008
   640        0.6806             nan     0.1000   -0.0010
   660        0.6791             nan     0.1000   -0.0009
   680        0.6760             nan     0.1000   -0.0008
   700        0.6736             nan     0.1000   -0.0003
   720        0.6711             nan     0.1000   -0.0007
   740        0.6712             nan     0.1000   -0.0012
   760        0.6682             nan     0.1000   -0.0012
   780        0.6660             nan     0.1000   -0.0006
   800        0.6645             nan     0.1000   -0.0012
   820        0.6628             nan     0.1000   -0.0008
   840        0.6606             nan     0.1000   -0.0004
   860        0.6581             nan     0.1000   -0.0004
   880        0.6563             nan     0.1000   -0.0006
   900        0.6546             nan     0.1000   -0.0008
   920        0.6535             nan     0.1000   -0.0008
   940        0.6525             nan     0.1000   -0.0005
   960        0.6509             nan     0.1000   -0.0014
   980        0.6496             nan     0.1000   -0.0007
  1000        0.6478             nan     0.1000   -0.0007
  1020        0.6452             nan     0.1000   -0.0004
  1040        0.6443             nan     0.1000   -0.0008
  1060        0.6432             nan     0.1000   -0.0009
  1080        0.6416             nan     0.1000   -0.0002
  1100        0.6407             nan     0.1000   -0.0014

- Fold01.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2634             nan     0.1000    0.0317
     2        1.2062             nan     0.1000    0.0286
     3        1.1578             nan     0.1000    0.0246
     4        1.1170             nan     0.1000    0.0192
     5        1.0853             nan     0.1000    0.0165
     6        1.0566             nan     0.1000    0.0137
     7        1.0313             nan     0.1000    0.0103
     8        1.0089             nan     0.1000    0.0113
     9        0.9901             nan     0.1000    0.0080
    10        0.9713             nan     0.1000    0.0079
    20        0.8769             nan     0.1000    0.0019
    40        0.8037             nan     0.1000   -0.0002
    60        0.7641             nan     0.1000   -0.0015
    80        0.7370             nan     0.1000   -0.0003
   100        0.7173             nan     0.1000   -0.0027
   120        0.6938             nan     0.1000   -0.0005
   140        0.6796             nan     0.1000   -0.0005
   160        0.6678             nan     0.1000   -0.0014
   180        0.6548             nan     0.1000   -0.0005
   200        0.6439             nan     0.1000   -0.0012
   220        0.6297             nan     0.1000   -0.0021
   240        0.6151             nan     0.1000   -0.0003
   260        0.6029             nan     0.1000   -0.0010
   280        0.5907             nan     0.1000   -0.0011
   300        0.5792             nan     0.1000   -0.0004
   320        0.5717             nan     0.1000   -0.0002
   340        0.5633             nan     0.1000   -0.0006
   360        0.5576             nan     0.1000   -0.0013
   380        0.5497             nan     0.1000   -0.0018
   400        0.5447             nan     0.1000   -0.0003
   420        0.5360             nan     0.1000   -0.0002
   440        0.5284             nan     0.1000   -0.0019
   460        0.5230             nan     0.1000   -0.0017
   480        0.5171             nan     0.1000   -0.0019
   500        0.5114             nan     0.1000   -0.0011
   520        0.5058             nan     0.1000   -0.0017
   540        0.5010             nan     0.1000   -0.0011
   560        0.4951             nan     0.1000   -0.0005
   580        0.4910             nan     0.1000   -0.0010
   600        0.4840             nan     0.1000   -0.0009
   620        0.4801             nan     0.1000   -0.0006
   640        0.4757             nan     0.1000   -0.0012
   660        0.4715             nan     0.1000   -0.0016
   680        0.4657             nan     0.1000   -0.0007
   700        0.4621             nan     0.1000   -0.0004
   720        0.4570             nan     0.1000   -0.0005
   740        0.4533             nan     0.1000   -0.0010
   760        0.4507             nan     0.1000   -0.0005
   780        0.4456             nan     0.1000   -0.0007
   800        0.4423             nan     0.1000   -0.0004
   820        0.4385             nan     0.1000   -0.0013
   840        0.4330             nan     0.1000   -0.0004
   860        0.4299             nan     0.1000   -0.0006
   880        0.4257             nan     0.1000   -0.0005
   900        0.4219             nan     0.1000   -0.0010
   920        0.4188             nan     0.1000   -0.0009
   940        0.4158             nan     0.1000   -0.0011
   960        0.4124             nan     0.1000   -0.0010
   980        0.4098             nan     0.1000   -0.0008
  1000        0.4071             nan     0.1000   -0.0011
  1020        0.4037             nan     0.1000   -0.0011
  1040        0.3998             nan     0.1000   -0.0008
  1060        0.3967             nan     0.1000   -0.0007
  1080        0.3942             nan     0.1000   -0.0009
  1100        0.3926             nan     0.1000   -0.0009

- Fold01.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2563             nan     0.1000    0.0358
     2        1.1929             nan     0.1000    0.0300
     3        1.1428             nan     0.1000    0.0246
     4        1.0966             nan     0.1000    0.0214
     5        1.0585             nan     0.1000    0.0194
     6        1.0238             nan     0.1000    0.0166
     7        0.9955             nan     0.1000    0.0122
     8        0.9733             nan     0.1000    0.0093
     9        0.9515             nan     0.1000    0.0100
    10        0.9377             nan     0.1000    0.0034
    20        0.8426             nan     0.1000    0.0019
    40        0.7643             nan     0.1000    0.0000
    60        0.7226             nan     0.1000   -0.0020
    80        0.6879             nan     0.1000   -0.0011
   100        0.6597             nan     0.1000   -0.0005
   120        0.6371             nan     0.1000   -0.0013
   140        0.6158             nan     0.1000   -0.0007
   160        0.5973             nan     0.1000   -0.0006
   180        0.5825             nan     0.1000   -0.0005
   200        0.5651             nan     0.1000   -0.0009
   220        0.5491             nan     0.1000   -0.0003
   240        0.5345             nan     0.1000   -0.0020
   260        0.5216             nan     0.1000   -0.0015
   280        0.5082             nan     0.1000   -0.0019
   300        0.4958             nan     0.1000   -0.0002
   320        0.4860             nan     0.1000   -0.0011
   340        0.4759             nan     0.1000   -0.0003
   360        0.4662             nan     0.1000   -0.0010
   380        0.4533             nan     0.1000   -0.0017
   400        0.4413             nan     0.1000   -0.0008
   420        0.4359             nan     0.1000   -0.0013
   440        0.4281             nan     0.1000   -0.0009
   460        0.4201             nan     0.1000   -0.0006
   480        0.4117             nan     0.1000   -0.0013
   500        0.4056             nan     0.1000   -0.0012
   520        0.3988             nan     0.1000   -0.0012
   540        0.3915             nan     0.1000   -0.0006
   560        0.3842             nan     0.1000   -0.0011
   580        0.3766             nan     0.1000   -0.0012
   600        0.3690             nan     0.1000   -0.0008
   620        0.3622             nan     0.1000   -0.0011
   640        0.3567             nan     0.1000   -0.0005
   660        0.3519             nan     0.1000   -0.0011
   680        0.3459             nan     0.1000   -0.0006
   700        0.3404             nan     0.1000   -0.0007
   720        0.3355             nan     0.1000   -0.0003
   740        0.3311             nan     0.1000   -0.0017
   760        0.3286             nan     0.1000   -0.0008
   780        0.3253             nan     0.1000   -0.0011
   800        0.3189             nan     0.1000   -0.0008
   820        0.3146             nan     0.1000   -0.0006
   840        0.3103             nan     0.1000   -0.0006
   860        0.3055             nan     0.1000   -0.0002
   880        0.3023             nan     0.1000   -0.0011
   900        0.2986             nan     0.1000   -0.0007
   920        0.2954             nan     0.1000   -0.0008
   940        0.2920             nan     0.1000   -0.0007
   960        0.2874             nan     0.1000   -0.0010
   980        0.2846             nan     0.1000   -0.0015
  1000        0.2808             nan     0.1000   -0.0016
  1020        0.2785             nan     0.1000   -0.0007
  1040        0.2754             nan     0.1000   -0.0007
  1060        0.2721             nan     0.1000   -0.0002
  1080        0.2699             nan     0.1000   -0.0002
  1100        0.2663             nan     0.1000   -0.0009

- Fold01.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3268             nan     0.0100    0.0029
     2        1.3211             nan     0.0100    0.0028
     3        1.3153             nan     0.0100    0.0027
     4        1.3100             nan     0.0100    0.0027
     5        1.3045             nan     0.0100    0.0027
     6        1.2989             nan     0.0100    0.0025
     7        1.2932             nan     0.0100    0.0025
     8        1.2885             nan     0.0100    0.0025
     9        1.2836             nan     0.0100    0.0025
    10        1.2785             nan     0.0100    0.0024
    20        1.2341             nan     0.0100    0.0019
    40        1.1666             nan     0.0100    0.0013
    60        1.1206             nan     0.0100    0.0010
    80        1.0849             nan     0.0100    0.0007
   100        1.0570             nan     0.0100    0.0006
   120        1.0344             nan     0.0100    0.0005
   140        1.0148             nan     0.0100    0.0004
   160        0.9973             nan     0.0100    0.0003
   180        0.9824             nan     0.0100    0.0002
   200        0.9695             nan     0.0100    0.0002
   220        0.9575             nan     0.0100    0.0002
   240        0.9475             nan     0.0100    0.0002
   260        0.9385             nan     0.0100    0.0001
   280        0.9300             nan     0.0100    0.0000
   300        0.9225             nan     0.0100    0.0001
   320        0.9153             nan     0.0100    0.0001
   340        0.9087             nan     0.0100    0.0001
   360        0.9026             nan     0.0100   -0.0000
   380        0.8968             nan     0.0100    0.0000
   400        0.8915             nan     0.0100    0.0000
   420        0.8865             nan     0.0100    0.0000
   440        0.8821             nan     0.0100   -0.0000
   460        0.8776             nan     0.0100    0.0001
   480        0.8736             nan     0.0100    0.0000
   500        0.8697             nan     0.0100   -0.0000
   520        0.8658             nan     0.0100    0.0000
   540        0.8624             nan     0.0100   -0.0001
   560        0.8590             nan     0.0100    0.0000
   580        0.8556             nan     0.0100   -0.0000
   600        0.8525             nan     0.0100    0.0000
   620        0.8491             nan     0.0100   -0.0000
   640        0.8462             nan     0.0100   -0.0001
   660        0.8436             nan     0.0100   -0.0001
   680        0.8408             nan     0.0100   -0.0000
   700        0.8382             nan     0.0100   -0.0000
   720        0.8355             nan     0.0100   -0.0001
   740        0.8332             nan     0.0100    0.0000
   760        0.8307             nan     0.0100    0.0000
   780        0.8283             nan     0.0100   -0.0000
   800        0.8263             nan     0.0100    0.0000
   820        0.8241             nan     0.0100    0.0000
   840        0.8224             nan     0.0100   -0.0000
   860        0.8205             nan     0.0100   -0.0000
   880        0.8190             nan     0.0100   -0.0000
   900        0.8172             nan     0.0100   -0.0000
   920        0.8157             nan     0.0100   -0.0001
   940        0.8138             nan     0.0100    0.0000
   960        0.8123             nan     0.0100   -0.0000
   980        0.8107             nan     0.0100   -0.0001
  1000        0.8093             nan     0.0100   -0.0001
  1020        0.8076             nan     0.0100   -0.0000
  1040        0.8063             nan     0.0100   -0.0001
  1060        0.8047             nan     0.0100   -0.0000
  1080        0.8033             nan     0.0100   -0.0001
  1100        0.8018             nan     0.0100   -0.0001

- Fold02.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3251             nan     0.0100    0.0035
     2        1.3180             nan     0.0100    0.0034
     3        1.3110             nan     0.0100    0.0032
     4        1.3045             nan     0.0100    0.0032
     5        1.2981             nan     0.0100    0.0030
     6        1.2913             nan     0.0100    0.0032
     7        1.2851             nan     0.0100    0.0032
     8        1.2788             nan     0.0100    0.0030
     9        1.2726             nan     0.0100    0.0028
    10        1.2665             nan     0.0100    0.0030
    20        1.2126             nan     0.0100    0.0025
    40        1.1267             nan     0.0100    0.0018
    60        1.0653             nan     0.0100    0.0012
    80        1.0181             nan     0.0100    0.0010
   100        0.9833             nan     0.0100    0.0007
   120        0.9552             nan     0.0100    0.0006
   140        0.9326             nan     0.0100    0.0002
   160        0.9146             nan     0.0100    0.0002
   180        0.9000             nan     0.0100    0.0001
   200        0.8868             nan     0.0100    0.0001
   220        0.8745             nan     0.0100    0.0001
   240        0.8644             nan     0.0100    0.0000
   260        0.8548             nan     0.0100    0.0001
   280        0.8466             nan     0.0100    0.0001
   300        0.8378             nan     0.0100    0.0001
   320        0.8305             nan     0.0100    0.0000
   340        0.8234             nan     0.0100    0.0002
   360        0.8171             nan     0.0100   -0.0000
   380        0.8119             nan     0.0100    0.0001
   400        0.8062             nan     0.0100    0.0001
   420        0.8015             nan     0.0100   -0.0000
   440        0.7969             nan     0.0100    0.0000
   460        0.7912             nan     0.0100   -0.0000
   480        0.7868             nan     0.0100   -0.0001
   500        0.7828             nan     0.0100   -0.0001
   520        0.7792             nan     0.0100   -0.0000
   540        0.7755             nan     0.0100   -0.0000
   560        0.7723             nan     0.0100   -0.0001
   580        0.7685             nan     0.0100    0.0000
   600        0.7649             nan     0.0100   -0.0000
   620        0.7620             nan     0.0100   -0.0000
   640        0.7588             nan     0.0100    0.0000
   660        0.7560             nan     0.0100   -0.0002
   680        0.7530             nan     0.0100   -0.0001
   700        0.7505             nan     0.0100   -0.0001
   720        0.7476             nan     0.0100   -0.0000
   740        0.7449             nan     0.0100   -0.0001
   760        0.7422             nan     0.0100    0.0000
   780        0.7400             nan     0.0100   -0.0001
   800        0.7373             nan     0.0100   -0.0001
   820        0.7349             nan     0.0100   -0.0000
   840        0.7327             nan     0.0100   -0.0001
   860        0.7305             nan     0.0100   -0.0000
   880        0.7284             nan     0.0100   -0.0001
   900        0.7262             nan     0.0100   -0.0001
   920        0.7243             nan     0.0100   -0.0001
   940        0.7223             nan     0.0100   -0.0001
   960        0.7202             nan     0.0100   -0.0001
   980        0.7179             nan     0.0100   -0.0002
  1000        0.7159             nan     0.0100   -0.0001
  1020        0.7141             nan     0.0100   -0.0001
  1040        0.7121             nan     0.0100   -0.0001
  1060        0.7103             nan     0.0100   -0.0001
  1080        0.7085             nan     0.0100   -0.0001
  1100        0.7065             nan     0.0100   -0.0002

- Fold02.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3241             nan     0.0100    0.0039
     2        1.3167             nan     0.0100    0.0041
     3        1.3088             nan     0.0100    0.0035
     4        1.3015             nan     0.0100    0.0037
     5        1.2941             nan     0.0100    0.0034
     6        1.2866             nan     0.0100    0.0036
     7        1.2794             nan     0.0100    0.0032
     8        1.2728             nan     0.0100    0.0034
     9        1.2659             nan     0.0100    0.0033
    10        1.2598             nan     0.0100    0.0031
    20        1.2007             nan     0.0100    0.0024
    40        1.1070             nan     0.0100    0.0019
    60        1.0396             nan     0.0100    0.0014
    80        0.9876             nan     0.0100    0.0011
   100        0.9472             nan     0.0100    0.0007
   120        0.9173             nan     0.0100    0.0005
   140        0.8943             nan     0.0100    0.0003
   160        0.8753             nan     0.0100    0.0002
   180        0.8577             nan     0.0100    0.0002
   200        0.8429             nan     0.0100    0.0003
   220        0.8304             nan     0.0100    0.0001
   240        0.8189             nan     0.0100    0.0000
   260        0.8091             nan     0.0100    0.0001
   280        0.8004             nan     0.0100   -0.0000
   300        0.7932             nan     0.0100    0.0000
   320        0.7858             nan     0.0100    0.0001
   340        0.7782             nan     0.0100   -0.0000
   360        0.7715             nan     0.0100   -0.0001
   380        0.7649             nan     0.0100   -0.0001
   400        0.7588             nan     0.0100   -0.0002
   420        0.7537             nan     0.0100   -0.0001
   440        0.7489             nan     0.0100   -0.0001
   460        0.7438             nan     0.0100   -0.0000
   480        0.7392             nan     0.0100   -0.0001
   500        0.7352             nan     0.0100   -0.0001
   520        0.7304             nan     0.0100   -0.0001
   540        0.7261             nan     0.0100   -0.0001
   560        0.7222             nan     0.0100   -0.0000
   580        0.7185             nan     0.0100   -0.0000
   600        0.7149             nan     0.0100   -0.0000
   620        0.7110             nan     0.0100   -0.0001
   640        0.7073             nan     0.0100    0.0001
   660        0.7038             nan     0.0100   -0.0001
   680        0.7006             nan     0.0100   -0.0001
   700        0.6972             nan     0.0100   -0.0001
   720        0.6939             nan     0.0100    0.0000
   740        0.6906             nan     0.0100   -0.0001
   760        0.6872             nan     0.0100    0.0001
   780        0.6840             nan     0.0100   -0.0000
   800        0.6814             nan     0.0100   -0.0001
   820        0.6788             nan     0.0100   -0.0002
   840        0.6759             nan     0.0100   -0.0001
   860        0.6727             nan     0.0100   -0.0001
   880        0.6700             nan     0.0100   -0.0001
   900        0.6668             nan     0.0100   -0.0001
   920        0.6641             nan     0.0100   -0.0002
   940        0.6614             nan     0.0100   -0.0001
   960        0.6591             nan     0.0100   -0.0002
   980        0.6562             nan     0.0100   -0.0001
  1000        0.6534             nan     0.0100   -0.0001
  1020        0.6507             nan     0.0100   -0.0001
  1040        0.6481             nan     0.0100    0.0000
  1060        0.6452             nan     0.0100   -0.0001
  1080        0.6424             nan     0.0100   -0.0001
  1100        0.6400             nan     0.0100   -0.0000

- Fold02.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2806             nan     0.1000    0.0278
     2        1.2270             nan     0.1000    0.0221
     3        1.1911             nan     0.1000    0.0173
     4        1.1624             nan     0.1000    0.0151
     5        1.1382             nan     0.1000    0.0124
     6        1.1151             nan     0.1000    0.0105
     7        1.0999             nan     0.1000    0.0073
     8        1.0833             nan     0.1000    0.0082
     9        1.0689             nan     0.1000    0.0061
    10        1.0540             nan     0.1000    0.0062
    20        0.9681             nan     0.1000    0.0025
    40        0.8877             nan     0.1000   -0.0005
    60        0.8482             nan     0.1000   -0.0001
    80        0.8275             nan     0.1000   -0.0018
   100        0.8095             nan     0.1000   -0.0008
   120        0.7970             nan     0.1000   -0.0006
   140        0.7862             nan     0.1000    0.0000
   160        0.7779             nan     0.1000   -0.0006
   180        0.7693             nan     0.1000   -0.0005
   200        0.7629             nan     0.1000   -0.0008
   220        0.7578             nan     0.1000   -0.0014
   240        0.7529             nan     0.1000   -0.0007
   260        0.7474             nan     0.1000   -0.0002
   280        0.7423             nan     0.1000   -0.0004
   300        0.7370             nan     0.1000   -0.0004
   320        0.7334             nan     0.1000   -0.0011
   340        0.7303             nan     0.1000   -0.0005
   360        0.7257             nan     0.1000   -0.0011
   380        0.7226             nan     0.1000   -0.0002
   400        0.7191             nan     0.1000   -0.0012
   420        0.7144             nan     0.1000   -0.0002
   440        0.7127             nan     0.1000   -0.0006
   460        0.7100             nan     0.1000   -0.0004
   480        0.7068             nan     0.1000   -0.0004
   500        0.7054             nan     0.1000   -0.0009
   520        0.7028             nan     0.1000   -0.0011
   540        0.7015             nan     0.1000   -0.0008
   560        0.6983             nan     0.1000   -0.0005
   580        0.6958             nan     0.1000   -0.0002
   600        0.6935             nan     0.1000   -0.0004
   620        0.6914             nan     0.1000   -0.0013
   640        0.6899             nan     0.1000   -0.0009
   660        0.6893             nan     0.1000   -0.0013
   680        0.6866             nan     0.1000   -0.0004
   700        0.6846             nan     0.1000   -0.0008
   720        0.6828             nan     0.1000   -0.0004
   740        0.6806             nan     0.1000   -0.0005
   760        0.6806             nan     0.1000   -0.0009
   780        0.6783             nan     0.1000   -0.0003
   800        0.6762             nan     0.1000   -0.0003
   820        0.6736             nan     0.1000   -0.0008
   840        0.6723             nan     0.1000   -0.0010
   860        0.6718             nan     0.1000   -0.0006
   880        0.6705             nan     0.1000   -0.0013
   900        0.6686             nan     0.1000   -0.0013
   920        0.6654             nan     0.1000   -0.0009
   940        0.6628             nan     0.1000   -0.0003
   960        0.6610             nan     0.1000   -0.0006
   980        0.6598             nan     0.1000   -0.0005
  1000        0.6578             nan     0.1000   -0.0007
  1020        0.6566             nan     0.1000   -0.0007
  1040        0.6545             nan     0.1000   -0.0009
  1060        0.6529             nan     0.1000   -0.0012
  1080        0.6524             nan     0.1000   -0.0009
  1100        0.6506             nan     0.1000   -0.0006

- Fold02.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2721             nan     0.1000    0.0278
     2        1.2150             nan     0.1000    0.0265
     3        1.1643             nan     0.1000    0.0240
     4        1.1247             nan     0.1000    0.0192
     5        1.0911             nan     0.1000    0.0142
     6        1.0607             nan     0.1000    0.0160
     7        1.0364             nan     0.1000    0.0107
     8        1.0149             nan     0.1000    0.0107
     9        0.9956             nan     0.1000    0.0098
    10        0.9790             nan     0.1000    0.0074
    20        0.8819             nan     0.1000    0.0003
    40        0.8091             nan     0.1000   -0.0001
    60        0.7712             nan     0.1000   -0.0008
    80        0.7430             nan     0.1000   -0.0004
   100        0.7208             nan     0.1000   -0.0006
   120        0.7028             nan     0.1000   -0.0006
   140        0.6904             nan     0.1000   -0.0010
   160        0.6729             nan     0.1000   -0.0007
   180        0.6588             nan     0.1000   -0.0004
   200        0.6438             nan     0.1000   -0.0006
   220        0.6325             nan     0.1000   -0.0011
   240        0.6207             nan     0.1000   -0.0006
   260        0.6116             nan     0.1000   -0.0008
   280        0.5997             nan     0.1000   -0.0022
   300        0.5919             nan     0.1000   -0.0017
   320        0.5863             nan     0.1000   -0.0007
   340        0.5783             nan     0.1000   -0.0022
   360        0.5687             nan     0.1000   -0.0011
   380        0.5636             nan     0.1000   -0.0017
   400        0.5556             nan     0.1000   -0.0001
   420        0.5513             nan     0.1000   -0.0007
   440        0.5455             nan     0.1000   -0.0016
   460        0.5375             nan     0.1000   -0.0003
   480        0.5318             nan     0.1000   -0.0004
   500        0.5253             nan     0.1000   -0.0009
   520        0.5201             nan     0.1000   -0.0008
   540        0.5135             nan     0.1000   -0.0016
   560        0.5064             nan     0.1000   -0.0002
   580        0.5028             nan     0.1000   -0.0008
   600        0.4999             nan     0.1000   -0.0009
   620        0.4951             nan     0.1000   -0.0009
   640        0.4901             nan     0.1000   -0.0011
   660        0.4850             nan     0.1000   -0.0006
   680        0.4809             nan     0.1000   -0.0003
   700        0.4738             nan     0.1000   -0.0007
   720        0.4687             nan     0.1000   -0.0001
   740        0.4639             nan     0.1000   -0.0008
   760        0.4599             nan     0.1000   -0.0009
   780        0.4553             nan     0.1000   -0.0006
   800        0.4508             nan     0.1000   -0.0013
   820        0.4463             nan     0.1000   -0.0006
   840        0.4416             nan     0.1000   -0.0006
   860        0.4391             nan     0.1000   -0.0010
   880        0.4349             nan     0.1000   -0.0009
   900        0.4318             nan     0.1000   -0.0011
   920        0.4285             nan     0.1000   -0.0011
   940        0.4253             nan     0.1000   -0.0005
   960        0.4232             nan     0.1000   -0.0003
   980        0.4188             nan     0.1000   -0.0012
  1000        0.4161             nan     0.1000   -0.0009
  1020        0.4125             nan     0.1000   -0.0006
  1040        0.4100             nan     0.1000   -0.0003
  1060        0.4062             nan     0.1000   -0.0006
  1080        0.4030             nan     0.1000   -0.0005
  1100        0.4003             nan     0.1000   -0.0011

- Fold02.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2604             nan     0.1000    0.0403
     2        1.1932             nan     0.1000    0.0301
     3        1.1410             nan     0.1000    0.0240
     4        1.0995             nan     0.1000    0.0185
     5        1.0619             nan     0.1000    0.0172
     6        1.0349             nan     0.1000    0.0131
     7        1.0073             nan     0.1000    0.0129
     8        0.9814             nan     0.1000    0.0113
     9        0.9615             nan     0.1000    0.0079
    10        0.9429             nan     0.1000    0.0073
    20        0.8406             nan     0.1000    0.0029
    40        0.7589             nan     0.1000   -0.0008
    60        0.7113             nan     0.1000   -0.0008
    80        0.6780             nan     0.1000   -0.0019
   100        0.6508             nan     0.1000   -0.0010
   120        0.6288             nan     0.1000   -0.0014
   140        0.6072             nan     0.1000   -0.0015
   160        0.5900             nan     0.1000   -0.0017
   180        0.5703             nan     0.1000   -0.0017
   200        0.5543             nan     0.1000   -0.0019
   220        0.5417             nan     0.1000   -0.0018
   240        0.5244             nan     0.1000   -0.0015
   260        0.5119             nan     0.1000   -0.0010
   280        0.4997             nan     0.1000   -0.0009
   300        0.4888             nan     0.1000   -0.0006
   320        0.4777             nan     0.1000   -0.0009
   340        0.4697             nan     0.1000   -0.0018
   360        0.4595             nan     0.1000   -0.0015
   380        0.4499             nan     0.1000   -0.0007
   400        0.4414             nan     0.1000   -0.0009
   420        0.4324             nan     0.1000   -0.0004
   440        0.4230             nan     0.1000   -0.0013
   460        0.4150             nan     0.1000   -0.0013
   480        0.4088             nan     0.1000   -0.0011
   500        0.4007             nan     0.1000   -0.0008
   520        0.3942             nan     0.1000   -0.0010
   540        0.3873             nan     0.1000   -0.0006
   560        0.3808             nan     0.1000   -0.0007
   580        0.3743             nan     0.1000   -0.0014
   600        0.3684             nan     0.1000   -0.0010
   620        0.3620             nan     0.1000   -0.0002
   640        0.3553             nan     0.1000   -0.0011
   660        0.3480             nan     0.1000   -0.0013
   680        0.3451             nan     0.1000   -0.0010
   700        0.3403             nan     0.1000   -0.0008
   720        0.3369             nan     0.1000   -0.0010
   740        0.3304             nan     0.1000   -0.0016
   760        0.3263             nan     0.1000   -0.0010
   780        0.3223             nan     0.1000   -0.0007
   800        0.3178             nan     0.1000   -0.0009
   820        0.3125             nan     0.1000   -0.0011
   840        0.3074             nan     0.1000   -0.0008
   860        0.3023             nan     0.1000   -0.0009
   880        0.2994             nan     0.1000   -0.0008
   900        0.2951             nan     0.1000   -0.0008
   920        0.2916             nan     0.1000   -0.0009
   940        0.2877             nan     0.1000   -0.0007
   960        0.2835             nan     0.1000   -0.0006
   980        0.2810             nan     0.1000   -0.0007
  1000        0.2767             nan     0.1000   -0.0007
  1020        0.2731             nan     0.1000   -0.0012
  1040        0.2691             nan     0.1000   -0.0013
  1060        0.2648             nan     0.1000   -0.0005
  1080        0.2630             nan     0.1000   -0.0009
  1100        0.2586             nan     0.1000   -0.0009

- Fold02.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3259             nan     0.0100    0.0033
     2        1.3196             nan     0.0100    0.0033
     3        1.3130             nan     0.0100    0.0033
     4        1.3068             nan     0.0100    0.0031
     5        1.3010             nan     0.0100    0.0031
     6        1.2941             nan     0.0100    0.0030
     7        1.2885             nan     0.0100    0.0030
     8        1.2824             nan     0.0100    0.0029
     9        1.2769             nan     0.0100    0.0029
    10        1.2712             nan     0.0100    0.0028
    20        1.2192             nan     0.0100    0.0023
    40        1.1444             nan     0.0100    0.0016
    60        1.0905             nan     0.0100    0.0011
    80        1.0511             nan     0.0100    0.0008
   100        1.0195             nan     0.0100    0.0006
   120        0.9929             nan     0.0100    0.0006
   140        0.9699             nan     0.0100    0.0005
   160        0.9510             nan     0.0100    0.0003
   180        0.9350             nan     0.0100    0.0002
   200        0.9207             nan     0.0100    0.0002
   220        0.9084             nan     0.0100    0.0002
   240        0.8974             nan     0.0100    0.0002
   260        0.8876             nan     0.0100    0.0002
   280        0.8783             nan     0.0100    0.0002
   300        0.8703             nan     0.0100    0.0001
   320        0.8636             nan     0.0100    0.0001
   340        0.8565             nan     0.0100    0.0001
   360        0.8503             nan     0.0100    0.0001
   380        0.8446             nan     0.0100    0.0001
   400        0.8389             nan     0.0100    0.0000
   420        0.8339             nan     0.0100   -0.0001
   440        0.8294             nan     0.0100    0.0001
   460        0.8249             nan     0.0100    0.0000
   480        0.8208             nan     0.0100   -0.0000
   500        0.8171             nan     0.0100    0.0000
   520        0.8131             nan     0.0100   -0.0000
   540        0.8093             nan     0.0100   -0.0000
   560        0.8055             nan     0.0100   -0.0000
   580        0.8021             nan     0.0100    0.0000
   600        0.7987             nan     0.0100    0.0000
   620        0.7956             nan     0.0100   -0.0000
   640        0.7925             nan     0.0100   -0.0000
   660        0.7894             nan     0.0100    0.0000
   680        0.7866             nan     0.0100    0.0000
   700        0.7841             nan     0.0100    0.0000
   720        0.7817             nan     0.0100   -0.0000
   740        0.7794             nan     0.0100    0.0000
   760        0.7772             nan     0.0100   -0.0000
   780        0.7751             nan     0.0100    0.0000
   800        0.7729             nan     0.0100   -0.0000
   820        0.7709             nan     0.0100   -0.0000
   840        0.7690             nan     0.0100   -0.0000
   860        0.7670             nan     0.0100   -0.0000
   880        0.7652             nan     0.0100   -0.0001
   900        0.7633             nan     0.0100   -0.0001
   920        0.7614             nan     0.0100   -0.0000
   940        0.7599             nan     0.0100   -0.0000
   960        0.7582             nan     0.0100   -0.0000
   980        0.7564             nan     0.0100   -0.0000
  1000        0.7549             nan     0.0100   -0.0000
  1020        0.7531             nan     0.0100   -0.0001
  1040        0.7516             nan     0.0100   -0.0001
  1060        0.7501             nan     0.0100   -0.0000
  1080        0.7487             nan     0.0100   -0.0000
  1100        0.7472             nan     0.0100   -0.0001

- Fold03.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3242             nan     0.0100    0.0041
     2        1.3157             nan     0.0100    0.0040
     3        1.3080             nan     0.0100    0.0038
     4        1.3009             nan     0.0100    0.0038
     5        1.2936             nan     0.0100    0.0038
     6        1.2864             nan     0.0100    0.0037
     7        1.2790             nan     0.0100    0.0037
     8        1.2716             nan     0.0100    0.0036
     9        1.2644             nan     0.0100    0.0033
    10        1.2575             nan     0.0100    0.0034
    20        1.1964             nan     0.0100    0.0026
    40        1.1010             nan     0.0100    0.0020
    60        1.0315             nan     0.0100    0.0015
    80        0.9798             nan     0.0100    0.0011
   100        0.9412             nan     0.0100    0.0008
   120        0.9091             nan     0.0100    0.0004
   140        0.8855             nan     0.0100    0.0004
   160        0.8652             nan     0.0100    0.0002
   180        0.8485             nan     0.0100    0.0003
   200        0.8343             nan     0.0100    0.0002
   220        0.8216             nan     0.0100    0.0003
   240        0.8113             nan     0.0100    0.0001
   260        0.8017             nan     0.0100    0.0001
   280        0.7933             nan     0.0100    0.0001
   300        0.7861             nan     0.0100    0.0000
   320        0.7786             nan     0.0100    0.0000
   340        0.7726             nan     0.0100    0.0000
   360        0.7665             nan     0.0100    0.0000
   380        0.7604             nan     0.0100   -0.0000
   400        0.7548             nan     0.0100   -0.0002
   420        0.7499             nan     0.0100   -0.0000
   440        0.7455             nan     0.0100   -0.0001
   460        0.7407             nan     0.0100    0.0000
   480        0.7363             nan     0.0100   -0.0001
   500        0.7323             nan     0.0100    0.0000
   520        0.7280             nan     0.0100   -0.0001
   540        0.7246             nan     0.0100   -0.0001
   560        0.7213             nan     0.0100   -0.0000
   580        0.7176             nan     0.0100   -0.0001
   600        0.7146             nan     0.0100   -0.0001
   620        0.7113             nan     0.0100    0.0000
   640        0.7085             nan     0.0100   -0.0000
   660        0.7059             nan     0.0100   -0.0000
   680        0.7028             nan     0.0100   -0.0002
   700        0.7001             nan     0.0100   -0.0000
   720        0.6971             nan     0.0100   -0.0001
   740        0.6949             nan     0.0100   -0.0001
   760        0.6921             nan     0.0100   -0.0002
   780        0.6897             nan     0.0100   -0.0001
   800        0.6872             nan     0.0100   -0.0000
   820        0.6848             nan     0.0100   -0.0001
   840        0.6823             nan     0.0100   -0.0001
   860        0.6801             nan     0.0100   -0.0001
   880        0.6780             nan     0.0100   -0.0000
   900        0.6756             nan     0.0100   -0.0001
   920        0.6736             nan     0.0100   -0.0001
   940        0.6710             nan     0.0100    0.0000
   960        0.6690             nan     0.0100   -0.0001
   980        0.6671             nan     0.0100   -0.0002
  1000        0.6645             nan     0.0100   -0.0000
  1020        0.6627             nan     0.0100   -0.0000
  1040        0.6607             nan     0.0100   -0.0001
  1060        0.6587             nan     0.0100   -0.0001
  1080        0.6569             nan     0.0100   -0.0001
  1100        0.6550             nan     0.0100   -0.0001

- Fold03.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3233             nan     0.0100    0.0042
     2        1.3148             nan     0.0100    0.0041
     3        1.3061             nan     0.0100    0.0039
     4        1.2982             nan     0.0100    0.0039
     5        1.2897             nan     0.0100    0.0038
     6        1.2815             nan     0.0100    0.0039
     7        1.2734             nan     0.0100    0.0038
     8        1.2656             nan     0.0100    0.0037
     9        1.2578             nan     0.0100    0.0038
    10        1.2504             nan     0.0100    0.0035
    20        1.1828             nan     0.0100    0.0029
    40        1.0803             nan     0.0100    0.0021
    60        1.0059             nan     0.0100    0.0015
    80        0.9490             nan     0.0100    0.0008
   100        0.9055             nan     0.0100    0.0007
   120        0.8731             nan     0.0100    0.0004
   140        0.8478             nan     0.0100    0.0005
   160        0.8262             nan     0.0100    0.0002
   180        0.8089             nan     0.0100    0.0002
   200        0.7934             nan     0.0100    0.0003
   220        0.7803             nan     0.0100    0.0001
   240        0.7693             nan     0.0100    0.0001
   260        0.7590             nan     0.0100    0.0000
   280        0.7501             nan     0.0100   -0.0000
   300        0.7414             nan     0.0100    0.0001
   320        0.7340             nan     0.0100   -0.0001
   340        0.7273             nan     0.0100    0.0000
   360        0.7201             nan     0.0100   -0.0001
   380        0.7145             nan     0.0100   -0.0001
   400        0.7088             nan     0.0100   -0.0001
   420        0.7041             nan     0.0100   -0.0001
   440        0.6988             nan     0.0100   -0.0001
   460        0.6934             nan     0.0100    0.0000
   480        0.6888             nan     0.0100   -0.0001
   500        0.6837             nan     0.0100   -0.0001
   520        0.6796             nan     0.0100   -0.0001
   540        0.6756             nan     0.0100    0.0000
   560        0.6713             nan     0.0100   -0.0001
   580        0.6678             nan     0.0100   -0.0002
   600        0.6640             nan     0.0100   -0.0001
   620        0.6604             nan     0.0100   -0.0001
   640        0.6570             nan     0.0100   -0.0001
   660        0.6537             nan     0.0100   -0.0000
   680        0.6499             nan     0.0100   -0.0001
   700        0.6469             nan     0.0100   -0.0000
   720        0.6441             nan     0.0100   -0.0002
   740        0.6411             nan     0.0100    0.0000
   760        0.6383             nan     0.0100   -0.0001
   780        0.6355             nan     0.0100   -0.0001
   800        0.6327             nan     0.0100   -0.0002
   820        0.6302             nan     0.0100   -0.0001
   840        0.6278             nan     0.0100   -0.0001
   860        0.6250             nan     0.0100    0.0000
   880        0.6226             nan     0.0100   -0.0001
   900        0.6202             nan     0.0100   -0.0003
   920        0.6173             nan     0.0100   -0.0002
   940        0.6148             nan     0.0100   -0.0001
   960        0.6123             nan     0.0100   -0.0002
   980        0.6094             nan     0.0100   -0.0001
  1000        0.6072             nan     0.0100   -0.0002
  1020        0.6050             nan     0.0100   -0.0000
  1040        0.6028             nan     0.0100   -0.0001
  1060        0.6007             nan     0.0100   -0.0001
  1080        0.5984             nan     0.0100   -0.0001
  1100        0.5965             nan     0.0100   -0.0001

- Fold03.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2656             nan     0.1000    0.0318
     2        1.2097             nan     0.1000    0.0255
     3        1.1668             nan     0.1000    0.0203
     4        1.1322             nan     0.1000    0.0164
     5        1.1061             nan     0.1000    0.0135
     6        1.0796             nan     0.1000    0.0109
     7        1.0587             nan     0.1000    0.0092
     8        1.0414             nan     0.1000    0.0075
     9        1.0241             nan     0.1000    0.0079
    10        1.0081             nan     0.1000    0.0062
    20        0.9136             nan     0.1000    0.0029
    40        0.8375             nan     0.1000   -0.0002
    60        0.7981             nan     0.1000   -0.0003
    80        0.7718             nan     0.1000   -0.0003
   100        0.7556             nan     0.1000   -0.0002
   120        0.7413             nan     0.1000   -0.0009
   140        0.7320             nan     0.1000   -0.0009
   160        0.7242             nan     0.1000   -0.0009
   180        0.7156             nan     0.1000   -0.0003
   200        0.7089             nan     0.1000   -0.0009
   220        0.7025             nan     0.1000   -0.0009
   240        0.6966             nan     0.1000   -0.0010
   260        0.6922             nan     0.1000   -0.0002
   280        0.6869             nan     0.1000   -0.0007
   300        0.6833             nan     0.1000   -0.0005
   320        0.6788             nan     0.1000   -0.0002
   340        0.6751             nan     0.1000   -0.0002
   360        0.6724             nan     0.1000   -0.0009
   380        0.6700             nan     0.1000   -0.0010
   400        0.6666             nan     0.1000   -0.0008
   420        0.6638             nan     0.1000   -0.0007
   440        0.6606             nan     0.1000   -0.0003
   460        0.6574             nan     0.1000   -0.0009
   480        0.6549             nan     0.1000   -0.0011
   500        0.6523             nan     0.1000   -0.0008
   520        0.6499             nan     0.1000   -0.0015
   540        0.6478             nan     0.1000   -0.0005
   560        0.6456             nan     0.1000   -0.0005
   580        0.6443             nan     0.1000   -0.0005
   600        0.6431             nan     0.1000   -0.0003
   620        0.6414             nan     0.1000   -0.0004
   640        0.6395             nan     0.1000   -0.0006
   660        0.6365             nan     0.1000   -0.0006
   680        0.6352             nan     0.1000   -0.0014
   700        0.6329             nan     0.1000   -0.0009
   720        0.6312             nan     0.1000   -0.0009
   740        0.6306             nan     0.1000   -0.0004
   760        0.6285             nan     0.1000   -0.0007
   780        0.6268             nan     0.1000   -0.0013
   800        0.6262             nan     0.1000   -0.0008
   820        0.6247             nan     0.1000   -0.0014
   840        0.6247             nan     0.1000   -0.0003
   860        0.6230             nan     0.1000   -0.0003
   880        0.6216             nan     0.1000   -0.0007
   900        0.6192             nan     0.1000   -0.0007
   920        0.6182             nan     0.1000   -0.0006
   940        0.6171             nan     0.1000   -0.0006
   960        0.6148             nan     0.1000   -0.0010
   980        0.6133             nan     0.1000   -0.0026
  1000        0.6120             nan     0.1000   -0.0003
  1020        0.6099             nan     0.1000   -0.0004
  1040        0.6086             nan     0.1000   -0.0008
  1060        0.6077             nan     0.1000   -0.0004
  1080        0.6060             nan     0.1000   -0.0009
  1100        0.6048             nan     0.1000   -0.0008

- Fold03.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2527             nan     0.1000    0.0364
     2        1.1924             nan     0.1000    0.0273
     3        1.1384             nan     0.1000    0.0262
     4        1.0938             nan     0.1000    0.0223
     5        1.0580             nan     0.1000    0.0164
     6        1.0250             nan     0.1000    0.0140
     7        0.9986             nan     0.1000    0.0131
     8        0.9745             nan     0.1000    0.0108
     9        0.9549             nan     0.1000    0.0086
    10        0.9376             nan     0.1000    0.0093
    20        0.8336             nan     0.1000    0.0020
    40        0.7574             nan     0.1000   -0.0000
    60        0.7161             nan     0.1000   -0.0001
    80        0.6907             nan     0.1000   -0.0005
   100        0.6693             nan     0.1000   -0.0010
   120        0.6509             nan     0.1000   -0.0009
   140        0.6333             nan     0.1000   -0.0006
   160        0.6179             nan     0.1000   -0.0007
   180        0.6043             nan     0.1000   -0.0005
   200        0.5935             nan     0.1000   -0.0000
   220        0.5833             nan     0.1000   -0.0005
   240        0.5728             nan     0.1000   -0.0007
   260        0.5622             nan     0.1000   -0.0008
   280        0.5541             nan     0.1000   -0.0011
   300        0.5463             nan     0.1000   -0.0009
   320        0.5348             nan     0.1000   -0.0009
   340        0.5244             nan     0.1000   -0.0006
   360        0.5170             nan     0.1000   -0.0004
   380        0.5110             nan     0.1000   -0.0008
   400        0.5019             nan     0.1000   -0.0007
   420        0.4945             nan     0.1000   -0.0009
   440        0.4878             nan     0.1000   -0.0003
   460        0.4846             nan     0.1000   -0.0005
   480        0.4773             nan     0.1000   -0.0004
   500        0.4703             nan     0.1000   -0.0011
   520        0.4639             nan     0.1000   -0.0003
   540        0.4570             nan     0.1000   -0.0009
   560        0.4498             nan     0.1000   -0.0012
   580        0.4455             nan     0.1000   -0.0004
   600        0.4428             nan     0.1000   -0.0007
   620        0.4392             nan     0.1000   -0.0003
   640        0.4350             nan     0.1000   -0.0010
   660        0.4310             nan     0.1000   -0.0007
   680        0.4263             nan     0.1000   -0.0009
   700        0.4229             nan     0.1000   -0.0005
   720        0.4163             nan     0.1000   -0.0016
   740        0.4127             nan     0.1000   -0.0008
   760        0.4106             nan     0.1000   -0.0007
   780        0.4064             nan     0.1000   -0.0005
   800        0.4034             nan     0.1000   -0.0019
   820        0.3999             nan     0.1000   -0.0004
   840        0.3961             nan     0.1000   -0.0004
   860        0.3923             nan     0.1000   -0.0011
   880        0.3877             nan     0.1000   -0.0009
   900        0.3851             nan     0.1000   -0.0007
   920        0.3788             nan     0.1000   -0.0008
   940        0.3744             nan     0.1000   -0.0010
   960        0.3711             nan     0.1000   -0.0010
   980        0.3679             nan     0.1000   -0.0006
  1000        0.3623             nan     0.1000   -0.0004
  1020        0.3600             nan     0.1000   -0.0011
  1040        0.3559             nan     0.1000   -0.0010
  1060        0.3513             nan     0.1000   -0.0007
  1080        0.3483             nan     0.1000   -0.0008
  1100        0.3437             nan     0.1000   -0.0004

- Fold03.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2489             nan     0.1000    0.0413
     2        1.1828             nan     0.1000    0.0333
     3        1.1255             nan     0.1000    0.0280
     4        1.0775             nan     0.1000    0.0234
     5        1.0344             nan     0.1000    0.0197
     6        1.0028             nan     0.1000    0.0159
     7        0.9728             nan     0.1000    0.0141
     8        0.9469             nan     0.1000    0.0104
     9        0.9232             nan     0.1000    0.0102
    10        0.9093             nan     0.1000    0.0035
    20        0.7933             nan     0.1000    0.0007
    40        0.7116             nan     0.1000   -0.0001
    60        0.6694             nan     0.1000   -0.0009
    80        0.6326             nan     0.1000   -0.0011
   100        0.6090             nan     0.1000   -0.0007
   120        0.5885             nan     0.1000   -0.0011
   140        0.5655             nan     0.1000   -0.0015
   160        0.5477             nan     0.1000   -0.0014
   180        0.5296             nan     0.1000   -0.0015
   200        0.5154             nan     0.1000   -0.0016
   220        0.5035             nan     0.1000   -0.0008
   240        0.4917             nan     0.1000   -0.0020
   260        0.4753             nan     0.1000   -0.0005
   280        0.4600             nan     0.1000   -0.0012
   300        0.4489             nan     0.1000   -0.0013
   320        0.4370             nan     0.1000   -0.0008
   340        0.4288             nan     0.1000   -0.0004
   360        0.4223             nan     0.1000   -0.0010
   380        0.4119             nan     0.1000   -0.0010
   400        0.4023             nan     0.1000   -0.0005
   420        0.3950             nan     0.1000   -0.0010
   440        0.3871             nan     0.1000   -0.0008
   460        0.3797             nan     0.1000   -0.0006
   480        0.3724             nan     0.1000   -0.0010
   500        0.3668             nan     0.1000   -0.0010
   520        0.3607             nan     0.1000   -0.0009
   540        0.3554             nan     0.1000   -0.0008
   560        0.3509             nan     0.1000   -0.0008
   580        0.3431             nan     0.1000   -0.0010
   600        0.3367             nan     0.1000   -0.0012
   620        0.3305             nan     0.1000   -0.0007
   640        0.3248             nan     0.1000   -0.0010
   660        0.3187             nan     0.1000   -0.0010
   680        0.3135             nan     0.1000   -0.0010
   700        0.3079             nan     0.1000   -0.0009
   720        0.3048             nan     0.1000   -0.0011
   740        0.2992             nan     0.1000   -0.0009
   760        0.2942             nan     0.1000   -0.0011
   780        0.2881             nan     0.1000   -0.0013
   800        0.2843             nan     0.1000   -0.0014
   820        0.2803             nan     0.1000   -0.0006
   840        0.2764             nan     0.1000   -0.0007
   860        0.2720             nan     0.1000   -0.0007
   880        0.2685             nan     0.1000   -0.0008
   900        0.2637             nan     0.1000   -0.0002
   920        0.2596             nan     0.1000   -0.0010
   940        0.2561             nan     0.1000   -0.0005
   960        0.2527             nan     0.1000   -0.0013
   980        0.2491             nan     0.1000   -0.0010
  1000        0.2467             nan     0.1000   -0.0007
  1020        0.2439             nan     0.1000   -0.0003
  1040        0.2396             nan     0.1000   -0.0010
  1060        0.2363             nan     0.1000   -0.0006
  1080        0.2338             nan     0.1000   -0.0010
  1100        0.2311             nan     0.1000   -0.0005

- Fold03.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3258             nan     0.0100    0.0030
     2        1.3199             nan     0.0100    0.0029
     3        1.3142             nan     0.0100    0.0028
     4        1.3086             nan     0.0100    0.0028
     5        1.3028             nan     0.0100    0.0027
     6        1.2978             nan     0.0100    0.0027
     7        1.2927             nan     0.0100    0.0027
     8        1.2873             nan     0.0100    0.0026
     9        1.2816             nan     0.0100    0.0025
    10        1.2769             nan     0.0100    0.0025
    20        1.2322             nan     0.0100    0.0021
    40        1.1615             nan     0.0100    0.0014
    60        1.1119             nan     0.0100    0.0010
    80        1.0753             nan     0.0100    0.0008
   100        1.0442             nan     0.0100    0.0003
   120        1.0193             nan     0.0100    0.0003
   140        0.9973             nan     0.0100    0.0004
   160        0.9784             nan     0.0100    0.0004
   180        0.9629             nan     0.0100    0.0003
   200        0.9488             nan     0.0100    0.0003
   220        0.9367             nan     0.0100    0.0002
   240        0.9253             nan     0.0100    0.0002
   260        0.9154             nan     0.0100    0.0002
   280        0.9063             nan     0.0100    0.0001
   300        0.8982             nan     0.0100    0.0001
   320        0.8905             nan     0.0100    0.0001
   340        0.8837             nan     0.0100    0.0001
   360        0.8773             nan     0.0100    0.0001
   380        0.8718             nan     0.0100    0.0001
   400        0.8663             nan     0.0100   -0.0001
   420        0.8612             nan     0.0100    0.0000
   440        0.8574             nan     0.0100    0.0000
   460        0.8530             nan     0.0100    0.0000
   480        0.8489             nan     0.0100    0.0000
   500        0.8448             nan     0.0100   -0.0000
   520        0.8408             nan     0.0100    0.0001
   540        0.8369             nan     0.0100   -0.0000
   560        0.8334             nan     0.0100    0.0000
   580        0.8302             nan     0.0100    0.0001
   600        0.8272             nan     0.0100   -0.0000
   620        0.8242             nan     0.0100    0.0000
   640        0.8211             nan     0.0100   -0.0002
   660        0.8183             nan     0.0100    0.0000
   680        0.8158             nan     0.0100   -0.0000
   700        0.8131             nan     0.0100    0.0000
   720        0.8105             nan     0.0100   -0.0000
   740        0.8080             nan     0.0100   -0.0000
   760        0.8055             nan     0.0100   -0.0000
   780        0.8031             nan     0.0100    0.0000
   800        0.8012             nan     0.0100   -0.0001
   820        0.7991             nan     0.0100   -0.0001
   840        0.7972             nan     0.0100    0.0000
   860        0.7952             nan     0.0100   -0.0001
   880        0.7933             nan     0.0100   -0.0000
   900        0.7915             nan     0.0100    0.0000
   920        0.7894             nan     0.0100   -0.0000
   940        0.7874             nan     0.0100   -0.0000
   960        0.7857             nan     0.0100   -0.0001
   980        0.7840             nan     0.0100   -0.0001
  1000        0.7821             nan     0.0100   -0.0000
  1020        0.7805             nan     0.0100   -0.0000
  1040        0.7789             nan     0.0100   -0.0000
  1060        0.7775             nan     0.0100   -0.0001
  1080        0.7759             nan     0.0100   -0.0002
  1100        0.7743             nan     0.0100   -0.0001

- Fold04.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3247             nan     0.0100    0.0037
     2        1.3173             nan     0.0100    0.0036
     3        1.3100             nan     0.0100    0.0034
     4        1.3028             nan     0.0100    0.0035
     5        1.2955             nan     0.0100    0.0034
     6        1.2885             nan     0.0100    0.0034
     7        1.2816             nan     0.0100    0.0032
     8        1.2756             nan     0.0100    0.0028
     9        1.2692             nan     0.0100    0.0030
    10        1.2628             nan     0.0100    0.0031
    20        1.2041             nan     0.0100    0.0026
    40        1.1156             nan     0.0100    0.0017
    60        1.0503             nan     0.0100    0.0013
    80        1.0003             nan     0.0100    0.0010
   100        0.9620             nan     0.0100    0.0008
   120        0.9332             nan     0.0100    0.0005
   140        0.9095             nan     0.0100    0.0004
   160        0.8903             nan     0.0100    0.0004
   180        0.8738             nan     0.0100    0.0002
   200        0.8589             nan     0.0100    0.0002
   220        0.8475             nan     0.0100    0.0003
   240        0.8364             nan     0.0100    0.0002
   260        0.8261             nan     0.0100    0.0000
   280        0.8180             nan     0.0100    0.0000
   300        0.8106             nan     0.0100    0.0001
   320        0.8032             nan     0.0100    0.0000
   340        0.7969             nan     0.0100   -0.0000
   360        0.7915             nan     0.0100   -0.0000
   380        0.7865             nan     0.0100    0.0000
   400        0.7812             nan     0.0100    0.0000
   420        0.7758             nan     0.0100    0.0000
   440        0.7707             nan     0.0100    0.0000
   460        0.7663             nan     0.0100   -0.0000
   480        0.7623             nan     0.0100   -0.0000
   500        0.7583             nan     0.0100    0.0000
   520        0.7545             nan     0.0100   -0.0001
   540        0.7508             nan     0.0100   -0.0000
   560        0.7476             nan     0.0100   -0.0000
   580        0.7443             nan     0.0100   -0.0000
   600        0.7408             nan     0.0100   -0.0002
   620        0.7376             nan     0.0100   -0.0001
   640        0.7347             nan     0.0100   -0.0001
   660        0.7319             nan     0.0100   -0.0001
   680        0.7289             nan     0.0100   -0.0001
   700        0.7262             nan     0.0100    0.0000
   720        0.7239             nan     0.0100   -0.0001
   740        0.7215             nan     0.0100   -0.0001
   760        0.7185             nan     0.0100   -0.0001
   780        0.7162             nan     0.0100   -0.0001
   800        0.7134             nan     0.0100   -0.0000
   820        0.7111             nan     0.0100   -0.0000
   840        0.7084             nan     0.0100   -0.0000
   860        0.7063             nan     0.0100   -0.0000
   880        0.7039             nan     0.0100   -0.0001
   900        0.7015             nan     0.0100   -0.0001
   920        0.6998             nan     0.0100   -0.0002
   940        0.6979             nan     0.0100   -0.0001
   960        0.6958             nan     0.0100   -0.0000
   980        0.6938             nan     0.0100   -0.0001
  1000        0.6920             nan     0.0100   -0.0001
  1020        0.6902             nan     0.0100   -0.0001
  1040        0.6879             nan     0.0100   -0.0000
  1060        0.6860             nan     0.0100   -0.0001
  1080        0.6840             nan     0.0100   -0.0001
  1100        0.6821             nan     0.0100   -0.0001

- Fold04.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3238             nan     0.0100    0.0043
     2        1.3157             nan     0.0100    0.0039
     3        1.3076             nan     0.0100    0.0040
     4        1.3001             nan     0.0100    0.0039
     5        1.2924             nan     0.0100    0.0036
     6        1.2848             nan     0.0100    0.0038
     7        1.2776             nan     0.0100    0.0036
     8        1.2700             nan     0.0100    0.0035
     9        1.2631             nan     0.0100    0.0032
    10        1.2562             nan     0.0100    0.0033
    20        1.1917             nan     0.0100    0.0027
    40        1.0932             nan     0.0100    0.0019
    60        1.0214             nan     0.0100    0.0013
    80        0.9680             nan     0.0100    0.0011
   100        0.9270             nan     0.0100    0.0007
   120        0.8954             nan     0.0100    0.0005
   140        0.8716             nan     0.0100    0.0003
   160        0.8522             nan     0.0100    0.0003
   180        0.8354             nan     0.0100    0.0002
   200        0.8204             nan     0.0100    0.0000
   220        0.8086             nan     0.0100    0.0000
   240        0.7977             nan     0.0100   -0.0001
   260        0.7883             nan     0.0100   -0.0001
   280        0.7798             nan     0.0100   -0.0001
   300        0.7719             nan     0.0100   -0.0000
   320        0.7651             nan     0.0100   -0.0001
   340        0.7589             nan     0.0100   -0.0001
   360        0.7530             nan     0.0100    0.0001
   380        0.7467             nan     0.0100   -0.0001
   400        0.7415             nan     0.0100   -0.0001
   420        0.7355             nan     0.0100   -0.0001
   440        0.7303             nan     0.0100   -0.0001
   460        0.7258             nan     0.0100   -0.0001
   480        0.7203             nan     0.0100    0.0001
   500        0.7156             nan     0.0100   -0.0001
   520        0.7115             nan     0.0100   -0.0001
   540        0.7073             nan     0.0100   -0.0000
   560        0.7035             nan     0.0100   -0.0001
   580        0.7000             nan     0.0100   -0.0001
   600        0.6959             nan     0.0100   -0.0000
   620        0.6925             nan     0.0100   -0.0002
   640        0.6887             nan     0.0100   -0.0001
   660        0.6854             nan     0.0100   -0.0002
   680        0.6822             nan     0.0100   -0.0001
   700        0.6784             nan     0.0100    0.0000
   720        0.6753             nan     0.0100   -0.0001
   740        0.6720             nan     0.0100   -0.0001
   760        0.6689             nan     0.0100   -0.0001
   780        0.6658             nan     0.0100   -0.0001
   800        0.6631             nan     0.0100   -0.0000
   820        0.6600             nan     0.0100   -0.0001
   840        0.6571             nan     0.0100   -0.0001
   860        0.6533             nan     0.0100   -0.0001
   880        0.6506             nan     0.0100   -0.0001
   900        0.6478             nan     0.0100   -0.0000
   920        0.6452             nan     0.0100   -0.0001
   940        0.6427             nan     0.0100   -0.0002
   960        0.6396             nan     0.0100   -0.0001
   980        0.6371             nan     0.0100   -0.0000
  1000        0.6347             nan     0.0100   -0.0000
  1020        0.6322             nan     0.0100   -0.0001
  1040        0.6298             nan     0.0100   -0.0001
  1060        0.6273             nan     0.0100   -0.0000
  1080        0.6247             nan     0.0100   -0.0001
  1100        0.6219             nan     0.0100   -0.0001

- Fold04.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2725             nan     0.1000    0.0284
     2        1.2293             nan     0.1000    0.0228
     3        1.1911             nan     0.1000    0.0194
     4        1.1588             nan     0.1000    0.0159
     5        1.1294             nan     0.1000    0.0127
     6        1.1093             nan     0.1000    0.0083
     7        1.0895             nan     0.1000    0.0101
     8        1.0705             nan     0.1000    0.0084
     9        1.0540             nan     0.1000    0.0074
    10        1.0383             nan     0.1000    0.0071
    20        0.9426             nan     0.1000    0.0020
    40        0.8656             nan     0.1000    0.0001
    60        0.8271             nan     0.1000   -0.0004
    80        0.8003             nan     0.1000    0.0003
   100        0.7834             nan     0.1000   -0.0002
   120        0.7655             nan     0.1000   -0.0002
   140        0.7556             nan     0.1000   -0.0005
   160        0.7461             nan     0.1000   -0.0008
   180        0.7384             nan     0.1000   -0.0005
   200        0.7326             nan     0.1000   -0.0014
   220        0.7249             nan     0.1000   -0.0003
   240        0.7201             nan     0.1000   -0.0008
   260        0.7138             nan     0.1000   -0.0005
   280        0.7103             nan     0.1000   -0.0007
   300        0.7047             nan     0.1000   -0.0007
   320        0.6994             nan     0.1000   -0.0009
   340        0.6950             nan     0.1000   -0.0010
   360        0.6941             nan     0.1000   -0.0007
   380        0.6887             nan     0.1000   -0.0008
   400        0.6836             nan     0.1000   -0.0006
   420        0.6802             nan     0.1000   -0.0009
   440        0.6769             nan     0.1000   -0.0004
   460        0.6740             nan     0.1000   -0.0009
   480        0.6707             nan     0.1000   -0.0001
   500        0.6679             nan     0.1000   -0.0010
   520        0.6650             nan     0.1000   -0.0007
   540        0.6623             nan     0.1000   -0.0012
   560        0.6597             nan     0.1000   -0.0006
   580        0.6581             nan     0.1000   -0.0011
   600        0.6555             nan     0.1000   -0.0004
   620        0.6547             nan     0.1000   -0.0011
   640        0.6519             nan     0.1000    0.0001
   660        0.6497             nan     0.1000   -0.0006
   680        0.6481             nan     0.1000   -0.0016
   700        0.6458             nan     0.1000   -0.0006
   720        0.6439             nan     0.1000   -0.0008
   740        0.6429             nan     0.1000   -0.0015
   760        0.6414             nan     0.1000   -0.0009
   780        0.6401             nan     0.1000   -0.0007
   800        0.6386             nan     0.1000   -0.0006
   820        0.6378             nan     0.1000   -0.0007
   840        0.6358             nan     0.1000   -0.0003
   860        0.6340             nan     0.1000   -0.0004
   880        0.6322             nan     0.1000   -0.0011
   900        0.6305             nan     0.1000   -0.0002
   920        0.6284             nan     0.1000   -0.0014
   940        0.6272             nan     0.1000   -0.0004
   960        0.6254             nan     0.1000   -0.0010
   980        0.6249             nan     0.1000   -0.0010
  1000        0.6236             nan     0.1000   -0.0011
  1020        0.6225             nan     0.1000   -0.0011
  1040        0.6214             nan     0.1000   -0.0004
  1060        0.6195             nan     0.1000   -0.0011
  1080        0.6188             nan     0.1000   -0.0012
  1100        0.6185             nan     0.1000   -0.0010

- Fold04.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2617             nan     0.1000    0.0355
     2        1.2069             nan     0.1000    0.0276
     3        1.1577             nan     0.1000    0.0234
     4        1.1136             nan     0.1000    0.0214
     5        1.0797             nan     0.1000    0.0173
     6        1.0487             nan     0.1000    0.0153
     7        1.0216             nan     0.1000    0.0127
     8        0.9972             nan     0.1000    0.0105
     9        0.9763             nan     0.1000    0.0078
    10        0.9583             nan     0.1000    0.0073
    20        0.8610             nan     0.1000    0.0016
    40        0.7877             nan     0.1000    0.0000
    60        0.7487             nan     0.1000   -0.0004
    80        0.7218             nan     0.1000   -0.0007
   100        0.7017             nan     0.1000   -0.0007
   120        0.6827             nan     0.1000   -0.0012
   140        0.6649             nan     0.1000   -0.0009
   160        0.6472             nan     0.1000   -0.0002
   180        0.6334             nan     0.1000   -0.0009
   200        0.6186             nan     0.1000   -0.0009
   220        0.6068             nan     0.1000   -0.0011
   240        0.5939             nan     0.1000   -0.0005
   260        0.5827             nan     0.1000   -0.0008
   280        0.5730             nan     0.1000   -0.0003
   300        0.5637             nan     0.1000   -0.0010
   320        0.5535             nan     0.1000   -0.0006
   340        0.5452             nan     0.1000   -0.0005
   360        0.5382             nan     0.1000   -0.0012
   380        0.5313             nan     0.1000   -0.0013
   400        0.5242             nan     0.1000   -0.0008
   420        0.5185             nan     0.1000   -0.0014
   440        0.5132             nan     0.1000   -0.0004
   460        0.5074             nan     0.1000   -0.0006
   480        0.5032             nan     0.1000   -0.0005
   500        0.4963             nan     0.1000   -0.0012
   520        0.4902             nan     0.1000   -0.0009
   540        0.4842             nan     0.1000   -0.0005
   560        0.4794             nan     0.1000   -0.0013
   580        0.4719             nan     0.1000   -0.0010
   600        0.4690             nan     0.1000   -0.0006
   620        0.4631             nan     0.1000   -0.0010
   640        0.4566             nan     0.1000   -0.0006
   660        0.4526             nan     0.1000   -0.0009
   680        0.4486             nan     0.1000   -0.0008
   700        0.4438             nan     0.1000   -0.0009
   720        0.4403             nan     0.1000   -0.0013
   740        0.4347             nan     0.1000   -0.0008
   760        0.4314             nan     0.1000   -0.0013
   780        0.4264             nan     0.1000   -0.0006
   800        0.4235             nan     0.1000   -0.0005
   820        0.4185             nan     0.1000   -0.0006
   840        0.4150             nan     0.1000   -0.0012
   860        0.4111             nan     0.1000   -0.0008
   880        0.4075             nan     0.1000   -0.0006
   900        0.4042             nan     0.1000   -0.0006
   920        0.4009             nan     0.1000   -0.0005
   940        0.3976             nan     0.1000   -0.0006
   960        0.3934             nan     0.1000   -0.0007
   980        0.3915             nan     0.1000   -0.0007
  1000        0.3876             nan     0.1000   -0.0004
  1020        0.3844             nan     0.1000   -0.0010
  1040        0.3817             nan     0.1000   -0.0010
  1060        0.3790             nan     0.1000   -0.0008
  1080        0.3769             nan     0.1000   -0.0004
  1100        0.3733             nan     0.1000   -0.0008

- Fold04.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2523             nan     0.1000    0.0385
     2        1.1856             nan     0.1000    0.0334
     3        1.1299             nan     0.1000    0.0260
     4        1.0882             nan     0.1000    0.0175
     5        1.0480             nan     0.1000    0.0196
     6        1.0168             nan     0.1000    0.0130
     7        0.9879             nan     0.1000    0.0133
     8        0.9596             nan     0.1000    0.0117
     9        0.9386             nan     0.1000    0.0088
    10        0.9235             nan     0.1000    0.0058
    20        0.8178             nan     0.1000    0.0019
    40        0.7378             nan     0.1000    0.0000
    60        0.6947             nan     0.1000   -0.0014
    80        0.6616             nan     0.1000   -0.0014
   100        0.6335             nan     0.1000   -0.0010
   120        0.6110             nan     0.1000   -0.0014
   140        0.5949             nan     0.1000   -0.0014
   160        0.5787             nan     0.1000   -0.0024
   180        0.5578             nan     0.1000   -0.0005
   200        0.5414             nan     0.1000   -0.0012
   220        0.5255             nan     0.1000   -0.0004
   240        0.5085             nan     0.1000   -0.0024
   260        0.4982             nan     0.1000   -0.0008
   280        0.4852             nan     0.1000   -0.0007
   300        0.4743             nan     0.1000   -0.0005
   320        0.4637             nan     0.1000   -0.0003
   340        0.4571             nan     0.1000   -0.0009
   360        0.4478             nan     0.1000   -0.0020
   380        0.4382             nan     0.1000   -0.0015
   400        0.4286             nan     0.1000   -0.0010
   420        0.4194             nan     0.1000   -0.0010
   440        0.4124             nan     0.1000   -0.0008
   460        0.4047             nan     0.1000   -0.0003
   480        0.3969             nan     0.1000   -0.0007
   500        0.3886             nan     0.1000   -0.0012
   520        0.3812             nan     0.1000   -0.0001
   540        0.3740             nan     0.1000   -0.0007
   560        0.3697             nan     0.1000   -0.0016
   580        0.3628             nan     0.1000   -0.0012
   600        0.3551             nan     0.1000   -0.0010
   620        0.3504             nan     0.1000   -0.0018
   640        0.3434             nan     0.1000   -0.0008
   660        0.3383             nan     0.1000   -0.0008
   680        0.3330             nan     0.1000   -0.0013
   700        0.3256             nan     0.1000   -0.0011
   720        0.3196             nan     0.1000   -0.0006
   740        0.3143             nan     0.1000   -0.0008
   760        0.3101             nan     0.1000   -0.0008
   780        0.3060             nan     0.1000   -0.0019
   800        0.3031             nan     0.1000   -0.0010
   820        0.2981             nan     0.1000   -0.0010
   840        0.2934             nan     0.1000   -0.0011
   860        0.2906             nan     0.1000   -0.0008
   880        0.2873             nan     0.1000   -0.0015
   900        0.2829             nan     0.1000   -0.0005
   920        0.2794             nan     0.1000   -0.0011
   940        0.2748             nan     0.1000   -0.0009
   960        0.2706             nan     0.1000   -0.0009
   980        0.2658             nan     0.1000   -0.0007
  1000        0.2628             nan     0.1000   -0.0006
  1020        0.2590             nan     0.1000   -0.0011
  1040        0.2571             nan     0.1000   -0.0008
  1060        0.2521             nan     0.1000   -0.0005
  1080        0.2482             nan     0.1000   -0.0002
  1100        0.2455             nan     0.1000   -0.0007

- Fold04.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3263             nan     0.0100    0.0030
     2        1.3203             nan     0.0100    0.0029
     3        1.3142             nan     0.0100    0.0029
     4        1.3084             nan     0.0100    0.0028
     5        1.3031             nan     0.0100    0.0028
     6        1.2973             nan     0.0100    0.0027
     7        1.2918             nan     0.0100    0.0028
     8        1.2866             nan     0.0100    0.0027
     9        1.2817             nan     0.0100    0.0026
    10        1.2768             nan     0.0100    0.0025
    20        1.2323             nan     0.0100    0.0021
    40        1.1618             nan     0.0100    0.0015
    60        1.1105             nan     0.0100    0.0010
    80        1.0741             nan     0.0100    0.0008
   100        1.0458             nan     0.0100    0.0006
   120        1.0214             nan     0.0100    0.0005
   140        1.0006             nan     0.0100    0.0004
   160        0.9834             nan     0.0100    0.0003
   180        0.9695             nan     0.0100    0.0003
   200        0.9573             nan     0.0100    0.0003
   220        0.9463             nan     0.0100    0.0002
   240        0.9362             nan     0.0100    0.0001
   260        0.9278             nan     0.0100    0.0002
   280        0.9194             nan     0.0100    0.0002
   300        0.9121             nan     0.0100    0.0001
   320        0.9051             nan     0.0100    0.0000
   340        0.8988             nan     0.0100    0.0001
   360        0.8932             nan     0.0100    0.0001
   380        0.8877             nan     0.0100   -0.0001
   400        0.8823             nan     0.0100   -0.0000
   420        0.8774             nan     0.0100   -0.0000
   440        0.8726             nan     0.0100    0.0001
   460        0.8682             nan     0.0100    0.0001
   480        0.8645             nan     0.0100    0.0000
   500        0.8606             nan     0.0100   -0.0000
   520        0.8567             nan     0.0100   -0.0000
   540        0.8531             nan     0.0100   -0.0001
   560        0.8497             nan     0.0100   -0.0000
   580        0.8465             nan     0.0100   -0.0000
   600        0.8434             nan     0.0100   -0.0000
   620        0.8405             nan     0.0100   -0.0000
   640        0.8377             nan     0.0100   -0.0000
   660        0.8350             nan     0.0100   -0.0000
   680        0.8326             nan     0.0100   -0.0000
   700        0.8301             nan     0.0100    0.0000
   720        0.8276             nan     0.0100   -0.0001
   740        0.8254             nan     0.0100   -0.0000
   760        0.8232             nan     0.0100   -0.0000
   780        0.8207             nan     0.0100   -0.0000
   800        0.8187             nan     0.0100   -0.0000
   820        0.8166             nan     0.0100    0.0000
   840        0.8147             nan     0.0100   -0.0000
   860        0.8129             nan     0.0100   -0.0002
   880        0.8112             nan     0.0100    0.0000
   900        0.8095             nan     0.0100   -0.0001
   920        0.8076             nan     0.0100   -0.0000
   940        0.8060             nan     0.0100   -0.0001
   960        0.8045             nan     0.0100   -0.0001
   980        0.8030             nan     0.0100   -0.0001
  1000        0.8015             nan     0.0100   -0.0000
  1020        0.8000             nan     0.0100   -0.0002
  1040        0.7988             nan     0.0100   -0.0001
  1060        0.7975             nan     0.0100   -0.0001
  1080        0.7960             nan     0.0100   -0.0001
  1100        0.7947             nan     0.0100   -0.0002

- Fold05.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3243             nan     0.0100    0.0036
     2        1.3170             nan     0.0100    0.0036
     3        1.3095             nan     0.0100    0.0035
     4        1.3027             nan     0.0100    0.0035
     5        1.2962             nan     0.0100    0.0034
     6        1.2891             nan     0.0100    0.0030
     7        1.2825             nan     0.0100    0.0035
     8        1.2759             nan     0.0100    0.0033
     9        1.2691             nan     0.0100    0.0031
    10        1.2627             nan     0.0100    0.0030
    20        1.2071             nan     0.0100    0.0023
    40        1.1183             nan     0.0100    0.0016
    60        1.0547             nan     0.0100    0.0013
    80        1.0067             nan     0.0100    0.0009
   100        0.9706             nan     0.0100    0.0008
   120        0.9433             nan     0.0100    0.0006
   140        0.9223             nan     0.0100    0.0001
   160        0.9041             nan     0.0100    0.0002
   180        0.8883             nan     0.0100    0.0001
   200        0.8759             nan     0.0100    0.0001
   220        0.8656             nan     0.0100    0.0001
   240        0.8547             nan     0.0100    0.0002
   260        0.8458             nan     0.0100    0.0002
   280        0.8374             nan     0.0100    0.0000
   300        0.8298             nan     0.0100    0.0001
   320        0.8232             nan     0.0100   -0.0000
   340        0.8167             nan     0.0100    0.0000
   360        0.8108             nan     0.0100   -0.0000
   380        0.8055             nan     0.0100    0.0000
   400        0.8001             nan     0.0100   -0.0001
   420        0.7956             nan     0.0100    0.0000
   440        0.7912             nan     0.0100   -0.0000
   460        0.7873             nan     0.0100   -0.0002
   480        0.7833             nan     0.0100   -0.0000
   500        0.7793             nan     0.0100    0.0001
   520        0.7755             nan     0.0100   -0.0000
   540        0.7720             nan     0.0100   -0.0001
   560        0.7688             nan     0.0100   -0.0000
   580        0.7655             nan     0.0100   -0.0000
   600        0.7623             nan     0.0100   -0.0000
   620        0.7594             nan     0.0100   -0.0000
   640        0.7566             nan     0.0100    0.0000
   660        0.7542             nan     0.0100    0.0000
   680        0.7514             nan     0.0100   -0.0000
   700        0.7487             nan     0.0100   -0.0000
   720        0.7460             nan     0.0100   -0.0001
   740        0.7429             nan     0.0100   -0.0000
   760        0.7401             nan     0.0100   -0.0000
   780        0.7380             nan     0.0100   -0.0000
   800        0.7353             nan     0.0100    0.0000
   820        0.7329             nan     0.0100   -0.0002
   840        0.7306             nan     0.0100   -0.0001
   860        0.7286             nan     0.0100   -0.0001
   880        0.7264             nan     0.0100   -0.0001
   900        0.7245             nan     0.0100   -0.0001
   920        0.7223             nan     0.0100    0.0000
   940        0.7201             nan     0.0100   -0.0001
   960        0.7183             nan     0.0100   -0.0000
   980        0.7163             nan     0.0100   -0.0000
  1000        0.7142             nan     0.0100   -0.0001
  1020        0.7121             nan     0.0100   -0.0001
  1040        0.7101             nan     0.0100   -0.0001
  1060        0.7081             nan     0.0100   -0.0001
  1080        0.7063             nan     0.0100   -0.0001
  1100        0.7046             nan     0.0100   -0.0001

- Fold05.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3243             nan     0.0100    0.0040
     2        1.3161             nan     0.0100    0.0041
     3        1.3081             nan     0.0100    0.0040
     4        1.3007             nan     0.0100    0.0042
     5        1.2931             nan     0.0100    0.0038
     6        1.2857             nan     0.0100    0.0033
     7        1.2783             nan     0.0100    0.0033
     8        1.2714             nan     0.0100    0.0032
     9        1.2649             nan     0.0100    0.0030
    10        1.2578             nan     0.0100    0.0033
    20        1.1964             nan     0.0100    0.0027
    40        1.0985             nan     0.0100    0.0020
    60        1.0284             nan     0.0100    0.0014
    80        0.9765             nan     0.0100    0.0011
   100        0.9378             nan     0.0100    0.0006
   120        0.9087             nan     0.0100    0.0005
   140        0.8857             nan     0.0100    0.0004
   160        0.8666             nan     0.0100    0.0003
   180        0.8506             nan     0.0100    0.0002
   200        0.8359             nan     0.0100    0.0002
   220        0.8235             nan     0.0100    0.0003
   240        0.8129             nan     0.0100    0.0002
   260        0.8034             nan     0.0100    0.0001
   280        0.7939             nan     0.0100    0.0001
   300        0.7863             nan     0.0100    0.0000
   320        0.7783             nan     0.0100   -0.0000
   340        0.7717             nan     0.0100    0.0001
   360        0.7659             nan     0.0100   -0.0000
   380        0.7595             nan     0.0100   -0.0001
   400        0.7539             nan     0.0100   -0.0000
   420        0.7486             nan     0.0100   -0.0001
   440        0.7439             nan     0.0100   -0.0001
   460        0.7389             nan     0.0100   -0.0001
   480        0.7351             nan     0.0100   -0.0002
   500        0.7308             nan     0.0100   -0.0001
   520        0.7271             nan     0.0100    0.0000
   540        0.7232             nan     0.0100   -0.0001
   560        0.7191             nan     0.0100   -0.0001
   580        0.7153             nan     0.0100   -0.0001
   600        0.7118             nan     0.0100   -0.0001
   620        0.7084             nan     0.0100   -0.0001
   640        0.7047             nan     0.0100   -0.0001
   660        0.7012             nan     0.0100   -0.0002
   680        0.6978             nan     0.0100   -0.0001
   700        0.6949             nan     0.0100   -0.0001
   720        0.6918             nan     0.0100   -0.0001
   740        0.6886             nan     0.0100   -0.0000
   760        0.6860             nan     0.0100   -0.0002
   780        0.6835             nan     0.0100   -0.0001
   800        0.6807             nan     0.0100   -0.0002
   820        0.6778             nan     0.0100   -0.0002
   840        0.6753             nan     0.0100   -0.0002
   860        0.6724             nan     0.0100   -0.0001
   880        0.6697             nan     0.0100   -0.0000
   900        0.6670             nan     0.0100   -0.0002
   920        0.6640             nan     0.0100   -0.0001
   940        0.6611             nan     0.0100   -0.0001
   960        0.6584             nan     0.0100   -0.0001
   980        0.6561             nan     0.0100   -0.0001
  1000        0.6535             nan     0.0100   -0.0001
  1020        0.6510             nan     0.0100   -0.0002
  1040        0.6485             nan     0.0100   -0.0001
  1060        0.6455             nan     0.0100   -0.0002
  1080        0.6432             nan     0.0100   -0.0001
  1100        0.6413             nan     0.0100   -0.0000

- Fold05.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2717             nan     0.1000    0.0276
     2        1.2269             nan     0.1000    0.0221
     3        1.1846             nan     0.1000    0.0198
     4        1.1529             nan     0.1000    0.0161
     5        1.1242             nan     0.1000    0.0133
     6        1.1056             nan     0.1000    0.0109
     7        1.0871             nan     0.1000    0.0087
     8        1.0708             nan     0.1000    0.0069
     9        1.0589             nan     0.1000    0.0050
    10        1.0437             nan     0.1000    0.0075
    20        0.9523             nan     0.1000    0.0026
    40        0.8765             nan     0.1000    0.0002
    60        0.8394             nan     0.1000    0.0003
    80        0.8149             nan     0.1000   -0.0003
   100        0.7972             nan     0.1000   -0.0008
   120        0.7865             nan     0.1000   -0.0005
   140        0.7763             nan     0.1000   -0.0007
   160        0.7699             nan     0.1000   -0.0004
   180        0.7635             nan     0.1000   -0.0004
   200        0.7568             nan     0.1000   -0.0005
   220        0.7510             nan     0.1000   -0.0010
   240        0.7466             nan     0.1000   -0.0013
   260        0.7414             nan     0.1000   -0.0005
   280        0.7378             nan     0.1000   -0.0005
   300        0.7346             nan     0.1000   -0.0005
   320        0.7322             nan     0.1000   -0.0013
   340        0.7276             nan     0.1000   -0.0007
   360        0.7255             nan     0.1000   -0.0008
   380        0.7225             nan     0.1000   -0.0015
   400        0.7177             nan     0.1000   -0.0005
   420        0.7134             nan     0.1000   -0.0005
   440        0.7099             nan     0.1000   -0.0006
   460        0.7075             nan     0.1000   -0.0004
   480        0.7051             nan     0.1000   -0.0010
   500        0.7026             nan     0.1000   -0.0007
   520        0.6987             nan     0.1000   -0.0007
   540        0.6964             nan     0.1000   -0.0008
   560        0.6944             nan     0.1000   -0.0007
   580        0.6918             nan     0.1000   -0.0005
   600        0.6903             nan     0.1000   -0.0006
   620        0.6886             nan     0.1000   -0.0012
   640        0.6862             nan     0.1000   -0.0008
   660        0.6844             nan     0.1000   -0.0006
   680        0.6822             nan     0.1000   -0.0008
   700        0.6807             nan     0.1000   -0.0006
   720        0.6785             nan     0.1000   -0.0008
   740        0.6766             nan     0.1000   -0.0007
   760        0.6746             nan     0.1000   -0.0009
   780        0.6723             nan     0.1000   -0.0006
   800        0.6700             nan     0.1000   -0.0004
   820        0.6686             nan     0.1000   -0.0003
   840        0.6657             nan     0.1000   -0.0007
   860        0.6646             nan     0.1000   -0.0006
   880        0.6639             nan     0.1000   -0.0004
   900        0.6623             nan     0.1000   -0.0012
   920        0.6614             nan     0.1000   -0.0006
   940        0.6599             nan     0.1000   -0.0003
   960        0.6572             nan     0.1000   -0.0022
   980        0.6564             nan     0.1000   -0.0006
  1000        0.6543             nan     0.1000   -0.0004
  1020        0.6531             nan     0.1000   -0.0010
  1040        0.6513             nan     0.1000   -0.0010
  1060        0.6507             nan     0.1000   -0.0010
  1080        0.6492             nan     0.1000   -0.0010
  1100        0.6477             nan     0.1000   -0.0004

- Fold05.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2572             nan     0.1000    0.0316
     2        1.2014             nan     0.1000    0.0279
     3        1.1536             nan     0.1000    0.0229
     4        1.1141             nan     0.1000    0.0201
     5        1.0768             nan     0.1000    0.0177
     6        1.0484             nan     0.1000    0.0123
     7        1.0239             nan     0.1000    0.0124
     8        1.0006             nan     0.1000    0.0102
     9        0.9837             nan     0.1000    0.0067
    10        0.9652             nan     0.1000    0.0080
    20        0.8737             nan     0.1000    0.0023
    40        0.8003             nan     0.1000    0.0002
    60        0.7650             nan     0.1000   -0.0008
    80        0.7402             nan     0.1000   -0.0008
   100        0.7199             nan     0.1000   -0.0011
   120        0.7003             nan     0.1000   -0.0001
   140        0.6826             nan     0.1000   -0.0002
   160        0.6678             nan     0.1000   -0.0008
   180        0.6554             nan     0.1000   -0.0010
   200        0.6473             nan     0.1000   -0.0013
   220        0.6358             nan     0.1000   -0.0024
   240        0.6248             nan     0.1000   -0.0006
   260        0.6130             nan     0.1000   -0.0006
   280        0.6048             nan     0.1000   -0.0005
   300        0.5944             nan     0.1000    0.0000
   320        0.5823             nan     0.1000   -0.0009
   340        0.5763             nan     0.1000   -0.0008
   360        0.5713             nan     0.1000   -0.0014
   380        0.5638             nan     0.1000   -0.0010
   400        0.5568             nan     0.1000   -0.0015
   420        0.5504             nan     0.1000   -0.0012
   440        0.5434             nan     0.1000   -0.0015
   460        0.5380             nan     0.1000   -0.0015
   480        0.5302             nan     0.1000   -0.0007
   500        0.5256             nan     0.1000   -0.0013
   520        0.5187             nan     0.1000   -0.0007
   540        0.5130             nan     0.1000   -0.0008
   560        0.5067             nan     0.1000   -0.0004
   580        0.5026             nan     0.1000   -0.0015
   600        0.4975             nan     0.1000   -0.0012
   620        0.4933             nan     0.1000   -0.0007
   640        0.4893             nan     0.1000   -0.0011
   660        0.4862             nan     0.1000   -0.0010
   680        0.4815             nan     0.1000   -0.0005
   700        0.4774             nan     0.1000   -0.0009
   720        0.4717             nan     0.1000   -0.0012
   740        0.4687             nan     0.1000   -0.0009
   760        0.4638             nan     0.1000   -0.0006
   780        0.4603             nan     0.1000   -0.0016
   800        0.4553             nan     0.1000   -0.0004
   820        0.4520             nan     0.1000   -0.0029
   840        0.4474             nan     0.1000   -0.0010
   860        0.4447             nan     0.1000   -0.0013
   880        0.4410             nan     0.1000   -0.0009
   900        0.4385             nan     0.1000   -0.0009
   920        0.4342             nan     0.1000   -0.0008
   940        0.4331             nan     0.1000   -0.0007
   960        0.4289             nan     0.1000   -0.0007
   980        0.4252             nan     0.1000   -0.0012
  1000        0.4199             nan     0.1000   -0.0010
  1020        0.4170             nan     0.1000   -0.0005
  1040        0.4130             nan     0.1000   -0.0005
  1060        0.4100             nan     0.1000   -0.0012
  1080        0.4075             nan     0.1000   -0.0004
  1100        0.4052             nan     0.1000   -0.0013

- Fold05.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2542             nan     0.1000    0.0367
     2        1.1910             nan     0.1000    0.0302
     3        1.1378             nan     0.1000    0.0245
     4        1.0933             nan     0.1000    0.0219
     5        1.0567             nan     0.1000    0.0191
     6        1.0239             nan     0.1000    0.0158
     7        0.9980             nan     0.1000    0.0112
     8        0.9737             nan     0.1000    0.0107
     9        0.9549             nan     0.1000    0.0090
    10        0.9365             nan     0.1000    0.0089
    20        0.8401             nan     0.1000    0.0015
    40        0.7630             nan     0.1000    0.0012
    60        0.7163             nan     0.1000    0.0001
    80        0.6843             nan     0.1000   -0.0013
   100        0.6538             nan     0.1000   -0.0014
   120        0.6322             nan     0.1000   -0.0010
   140        0.6116             nan     0.1000   -0.0011
   160        0.5961             nan     0.1000   -0.0019
   180        0.5802             nan     0.1000   -0.0015
   200        0.5676             nan     0.1000   -0.0008
   220        0.5530             nan     0.1000   -0.0019
   240        0.5406             nan     0.1000   -0.0012
   260        0.5286             nan     0.1000   -0.0013
   280        0.5212             nan     0.1000   -0.0011
   300        0.5086             nan     0.1000   -0.0012
   320        0.4991             nan     0.1000   -0.0021
   340        0.4881             nan     0.1000   -0.0010
   360        0.4796             nan     0.1000   -0.0009
   380        0.4729             nan     0.1000   -0.0004
   400        0.4648             nan     0.1000   -0.0012
   420        0.4572             nan     0.1000   -0.0008
   440        0.4482             nan     0.1000   -0.0016
   460        0.4379             nan     0.1000   -0.0011
   480        0.4277             nan     0.1000   -0.0009
   500        0.4195             nan     0.1000   -0.0008
   520        0.4131             nan     0.1000   -0.0008
   540        0.4070             nan     0.1000   -0.0008
   560        0.3995             nan     0.1000   -0.0009
   580        0.3941             nan     0.1000   -0.0005
   600        0.3870             nan     0.1000   -0.0015
   620        0.3794             nan     0.1000   -0.0011
   640        0.3747             nan     0.1000   -0.0010
   660        0.3698             nan     0.1000   -0.0012
   680        0.3641             nan     0.1000   -0.0010
   700        0.3589             nan     0.1000   -0.0014
   720        0.3534             nan     0.1000   -0.0010
   740        0.3476             nan     0.1000   -0.0020
   760        0.3429             nan     0.1000   -0.0010
   780        0.3368             nan     0.1000   -0.0010
   800        0.3321             nan     0.1000   -0.0009
   820        0.3285             nan     0.1000   -0.0013
   840        0.3229             nan     0.1000   -0.0006
   860        0.3177             nan     0.1000   -0.0005
   880        0.3143             nan     0.1000   -0.0011
   900        0.3099             nan     0.1000   -0.0006
   920        0.3041             nan     0.1000   -0.0011
   940        0.3002             nan     0.1000   -0.0005
   960        0.2961             nan     0.1000   -0.0006
   980        0.2916             nan     0.1000   -0.0011
  1000        0.2881             nan     0.1000   -0.0006
  1020        0.2839             nan     0.1000   -0.0011
  1040        0.2799             nan     0.1000   -0.0009
  1060        0.2771             nan     0.1000   -0.0006
  1080        0.2735             nan     0.1000   -0.0012
  1100        0.2698             nan     0.1000   -0.0003

- Fold05.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3258             nan     0.0100    0.0029
     2        1.3203             nan     0.0100    0.0028
     3        1.3149             nan     0.0100    0.0028
     4        1.3093             nan     0.0100    0.0027
     5        1.3041             nan     0.0100    0.0027
     6        1.2992             nan     0.0100    0.0026
     7        1.2945             nan     0.0100    0.0025
     8        1.2893             nan     0.0100    0.0025
     9        1.2843             nan     0.0100    0.0024
    10        1.2798             nan     0.0100    0.0024
    20        1.2367             nan     0.0100    0.0020
    40        1.1690             nan     0.0100    0.0014
    60        1.1232             nan     0.0100    0.0010
    80        1.0877             nan     0.0100    0.0008
   100        1.0586             nan     0.0100    0.0006
   120        1.0352             nan     0.0100    0.0005
   140        1.0164             nan     0.0100    0.0004
   160        0.9990             nan     0.0100    0.0002
   180        0.9844             nan     0.0100    0.0003
   200        0.9707             nan     0.0100    0.0002
   220        0.9596             nan     0.0100    0.0002
   240        0.9489             nan     0.0100    0.0001
   260        0.9391             nan     0.0100    0.0001
   280        0.9306             nan     0.0100    0.0001
   300        0.9231             nan     0.0100    0.0001
   320        0.9163             nan     0.0100    0.0001
   340        0.9094             nan     0.0100    0.0001
   360        0.9036             nan     0.0100    0.0001
   380        0.8975             nan     0.0100    0.0000
   400        0.8924             nan     0.0100    0.0001
   420        0.8875             nan     0.0100   -0.0000
   440        0.8829             nan     0.0100    0.0000
   460        0.8781             nan     0.0100    0.0000
   480        0.8739             nan     0.0100   -0.0000
   500        0.8695             nan     0.0100   -0.0001
   520        0.8660             nan     0.0100    0.0000
   540        0.8622             nan     0.0100   -0.0001
   560        0.8587             nan     0.0100    0.0000
   580        0.8554             nan     0.0100   -0.0000
   600        0.8522             nan     0.0100    0.0000
   620        0.8492             nan     0.0100   -0.0002
   640        0.8462             nan     0.0100    0.0000
   660        0.8436             nan     0.0100   -0.0001
   680        0.8407             nan     0.0100    0.0000
   700        0.8381             nan     0.0100   -0.0000
   720        0.8356             nan     0.0100    0.0000
   740        0.8331             nan     0.0100    0.0000
   760        0.8308             nan     0.0100   -0.0000
   780        0.8286             nan     0.0100   -0.0000
   800        0.8265             nan     0.0100   -0.0001
   820        0.8243             nan     0.0100   -0.0000
   840        0.8222             nan     0.0100    0.0000
   860        0.8202             nan     0.0100   -0.0001
   880        0.8181             nan     0.0100   -0.0000
   900        0.8163             nan     0.0100   -0.0000
   920        0.8146             nan     0.0100   -0.0000
   940        0.8129             nan     0.0100    0.0000
   960        0.8113             nan     0.0100    0.0000
   980        0.8096             nan     0.0100   -0.0001
  1000        0.8081             nan     0.0100   -0.0000
  1020        0.8066             nan     0.0100   -0.0000
  1040        0.8052             nan     0.0100   -0.0000
  1060        0.8038             nan     0.0100   -0.0000
  1080        0.8027             nan     0.0100   -0.0000
  1100        0.8014             nan     0.0100   -0.0001

- Fold06.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3244             nan     0.0100    0.0036
     2        1.3176             nan     0.0100    0.0036
     3        1.3102             nan     0.0100    0.0034
     4        1.3033             nan     0.0100    0.0032
     5        1.2966             nan     0.0100    0.0034
     6        1.2897             nan     0.0100    0.0031
     7        1.2832             nan     0.0100    0.0029
     8        1.2768             nan     0.0100    0.0030
     9        1.2708             nan     0.0100    0.0031
    10        1.2648             nan     0.0100    0.0030
    20        1.2096             nan     0.0100    0.0024
    40        1.1231             nan     0.0100    0.0018
    60        1.0614             nan     0.0100    0.0011
    80        1.0165             nan     0.0100    0.0009
   100        0.9808             nan     0.0100    0.0005
   120        0.9537             nan     0.0100    0.0003
   140        0.9309             nan     0.0100    0.0003
   160        0.9118             nan     0.0100    0.0003
   180        0.8967             nan     0.0100    0.0004
   200        0.8840             nan     0.0100    0.0001
   220        0.8724             nan     0.0100    0.0001
   240        0.8612             nan     0.0100    0.0000
   260        0.8522             nan     0.0100    0.0000
   280        0.8437             nan     0.0100   -0.0000
   300        0.8363             nan     0.0100    0.0001
   320        0.8289             nan     0.0100    0.0000
   340        0.8224             nan     0.0100    0.0000
   360        0.8167             nan     0.0100   -0.0000
   380        0.8112             nan     0.0100   -0.0000
   400        0.8061             nan     0.0100   -0.0000
   420        0.8015             nan     0.0100   -0.0000
   440        0.7971             nan     0.0100   -0.0000
   460        0.7925             nan     0.0100   -0.0001
   480        0.7879             nan     0.0100   -0.0000
   500        0.7841             nan     0.0100   -0.0001
   520        0.7804             nan     0.0100   -0.0000
   540        0.7773             nan     0.0100   -0.0001
   560        0.7747             nan     0.0100   -0.0000
   580        0.7715             nan     0.0100   -0.0000
   600        0.7683             nan     0.0100   -0.0001
   620        0.7647             nan     0.0100   -0.0001
   640        0.7620             nan     0.0100   -0.0000
   660        0.7592             nan     0.0100   -0.0000
   680        0.7565             nan     0.0100   -0.0002
   700        0.7538             nan     0.0100   -0.0001
   720        0.7517             nan     0.0100   -0.0001
   740        0.7489             nan     0.0100   -0.0000
   760        0.7462             nan     0.0100   -0.0000
   780        0.7436             nan     0.0100   -0.0001
   800        0.7417             nan     0.0100   -0.0002
   820        0.7391             nan     0.0100   -0.0000
   840        0.7364             nan     0.0100   -0.0001
   860        0.7344             nan     0.0100   -0.0001
   880        0.7322             nan     0.0100   -0.0000
   900        0.7297             nan     0.0100   -0.0001
   920        0.7275             nan     0.0100   -0.0001
   940        0.7255             nan     0.0100   -0.0001
   960        0.7235             nan     0.0100   -0.0001
   980        0.7213             nan     0.0100   -0.0001
  1000        0.7191             nan     0.0100   -0.0001
  1020        0.7173             nan     0.0100   -0.0000
  1040        0.7154             nan     0.0100   -0.0000
  1060        0.7131             nan     0.0100   -0.0001
  1080        0.7113             nan     0.0100   -0.0001
  1100        0.7098             nan     0.0100   -0.0001

- Fold06.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3240             nan     0.0100    0.0036
     2        1.3164             nan     0.0100    0.0037
     3        1.3089             nan     0.0100    0.0037
     4        1.3020             nan     0.0100    0.0036
     5        1.2947             nan     0.0100    0.0034
     6        1.2880             nan     0.0100    0.0032
     7        1.2811             nan     0.0100    0.0036
     8        1.2737             nan     0.0100    0.0035
     9        1.2673             nan     0.0100    0.0030
    10        1.2610             nan     0.0100    0.0031
    20        1.1990             nan     0.0100    0.0026
    40        1.1049             nan     0.0100    0.0018
    60        1.0372             nan     0.0100    0.0014
    80        0.9864             nan     0.0100    0.0010
   100        0.9486             nan     0.0100    0.0008
   120        0.9194             nan     0.0100    0.0004
   140        0.8951             nan     0.0100    0.0003
   160        0.8751             nan     0.0100    0.0004
   180        0.8589             nan     0.0100   -0.0000
   200        0.8460             nan     0.0100    0.0002
   220        0.8333             nan     0.0100   -0.0000
   240        0.8236             nan     0.0100    0.0001
   260        0.8133             nan     0.0100    0.0002
   280        0.8048             nan     0.0100    0.0000
   300        0.7966             nan     0.0100    0.0001
   320        0.7894             nan     0.0100    0.0001
   340        0.7826             nan     0.0100    0.0000
   360        0.7766             nan     0.0100   -0.0001
   380        0.7701             nan     0.0100    0.0000
   400        0.7648             nan     0.0100    0.0001
   420        0.7592             nan     0.0100   -0.0001
   440        0.7541             nan     0.0100   -0.0001
   460        0.7492             nan     0.0100   -0.0001
   480        0.7451             nan     0.0100   -0.0001
   500        0.7406             nan     0.0100   -0.0001
   520        0.7367             nan     0.0100   -0.0001
   540        0.7323             nan     0.0100   -0.0000
   560        0.7282             nan     0.0100   -0.0001
   580        0.7243             nan     0.0100   -0.0001
   600        0.7204             nan     0.0100   -0.0001
   620        0.7165             nan     0.0100   -0.0002
   640        0.7132             nan     0.0100   -0.0001
   660        0.7100             nan     0.0100   -0.0001
   680        0.7065             nan     0.0100   -0.0001
   700        0.7033             nan     0.0100   -0.0003
   720        0.7003             nan     0.0100   -0.0002
   740        0.6972             nan     0.0100   -0.0001
   760        0.6941             nan     0.0100   -0.0002
   780        0.6909             nan     0.0100   -0.0001
   800        0.6873             nan     0.0100   -0.0001
   820        0.6848             nan     0.0100   -0.0001
   840        0.6828             nan     0.0100   -0.0003
   860        0.6796             nan     0.0100   -0.0001
   880        0.6772             nan     0.0100   -0.0001
   900        0.6745             nan     0.0100   -0.0001
   920        0.6724             nan     0.0100   -0.0001
   940        0.6696             nan     0.0100   -0.0001
   960        0.6668             nan     0.0100   -0.0000
   980        0.6643             nan     0.0100   -0.0000
  1000        0.6614             nan     0.0100   -0.0000
  1020        0.6589             nan     0.0100   -0.0001
  1040        0.6566             nan     0.0100   -0.0001
  1060        0.6541             nan     0.0100   -0.0001
  1080        0.6518             nan     0.0100   -0.0001
  1100        0.6498             nan     0.0100   -0.0002

- Fold06.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2750             nan     0.1000    0.0264
     2        1.2333             nan     0.1000    0.0228
     3        1.1986             nan     0.1000    0.0188
     4        1.1640             nan     0.1000    0.0152
     5        1.1412             nan     0.1000    0.0122
     6        1.1201             nan     0.1000    0.0104
     7        1.0996             nan     0.1000    0.0088
     8        1.0824             nan     0.1000    0.0069
     9        1.0675             nan     0.1000    0.0071
    10        1.0556             nan     0.1000    0.0056
    20        0.9677             nan     0.1000    0.0019
    40        0.8921             nan     0.1000    0.0006
    60        0.8511             nan     0.1000   -0.0002
    80        0.8263             nan     0.1000   -0.0012
   100        0.8073             nan     0.1000   -0.0005
   120        0.7939             nan     0.1000   -0.0001
   140        0.7834             nan     0.1000   -0.0004
   160        0.7747             nan     0.1000   -0.0006
   180        0.7681             nan     0.1000   -0.0005
   200        0.7617             nan     0.1000   -0.0002
   220        0.7552             nan     0.1000   -0.0008
   240        0.7516             nan     0.1000   -0.0010
   260        0.7474             nan     0.1000   -0.0009
   280        0.7426             nan     0.1000   -0.0009
   300        0.7387             nan     0.1000   -0.0005
   320        0.7358             nan     0.1000   -0.0006
   340        0.7319             nan     0.1000   -0.0016
   360        0.7292             nan     0.1000   -0.0011
   380        0.7252             nan     0.1000   -0.0008
   400        0.7231             nan     0.1000   -0.0009
   420        0.7194             nan     0.1000   -0.0006
   440        0.7156             nan     0.1000   -0.0003
   460        0.7140             nan     0.1000   -0.0008
   480        0.7121             nan     0.1000   -0.0011
   500        0.7083             nan     0.1000   -0.0006
   520        0.7055             nan     0.1000   -0.0011
   540        0.7026             nan     0.1000   -0.0007
   560        0.6989             nan     0.1000   -0.0006
   580        0.6973             nan     0.1000   -0.0010
   600        0.6939             nan     0.1000   -0.0006
   620        0.6914             nan     0.1000   -0.0006
   640        0.6888             nan     0.1000   -0.0006
   660        0.6862             nan     0.1000   -0.0005
   680        0.6847             nan     0.1000   -0.0005
   700        0.6818             nan     0.1000    0.0000
   720        0.6800             nan     0.1000   -0.0010
   740        0.6796             nan     0.1000   -0.0014
   760        0.6787             nan     0.1000   -0.0010
   780        0.6753             nan     0.1000   -0.0005
   800        0.6743             nan     0.1000   -0.0011
   820        0.6724             nan     0.1000   -0.0010
   840        0.6694             nan     0.1000   -0.0003
   860        0.6681             nan     0.1000   -0.0003
   880        0.6668             nan     0.1000   -0.0008
   900        0.6648             nan     0.1000   -0.0009
   920        0.6628             nan     0.1000   -0.0006
   940        0.6611             nan     0.1000   -0.0015
   960        0.6599             nan     0.1000   -0.0006
   980        0.6592             nan     0.1000   -0.0006
  1000        0.6579             nan     0.1000   -0.0012
  1020        0.6553             nan     0.1000   -0.0005
  1040        0.6546             nan     0.1000   -0.0009
  1060        0.6541             nan     0.1000   -0.0010
  1080        0.6523             nan     0.1000   -0.0006
  1100        0.6500             nan     0.1000   -0.0002

- Fold06.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2594             nan     0.1000    0.0336
     2        1.2043             nan     0.1000    0.0270
     3        1.1531             nan     0.1000    0.0244
     4        1.1177             nan     0.1000    0.0180
     5        1.0844             nan     0.1000    0.0166
     6        1.0587             nan     0.1000    0.0141
     7        1.0384             nan     0.1000    0.0108
     8        1.0153             nan     0.1000    0.0101
     9        1.0006             nan     0.1000    0.0062
    10        0.9823             nan     0.1000    0.0063
    20        0.8846             nan     0.1000    0.0019
    40        0.8109             nan     0.1000   -0.0003
    60        0.7712             nan     0.1000   -0.0002
    80        0.7457             nan     0.1000   -0.0010
   100        0.7227             nan     0.1000   -0.0022
   120        0.7064             nan     0.1000   -0.0004
   140        0.6865             nan     0.1000   -0.0001
   160        0.6702             nan     0.1000   -0.0009
   180        0.6568             nan     0.1000   -0.0011
   200        0.6447             nan     0.1000   -0.0009
   220        0.6352             nan     0.1000   -0.0011
   240        0.6258             nan     0.1000   -0.0008
   260        0.6155             nan     0.1000   -0.0010
   280        0.6063             nan     0.1000   -0.0008
   300        0.5974             nan     0.1000   -0.0004
   320        0.5881             nan     0.1000   -0.0007
   340        0.5777             nan     0.1000   -0.0011
   360        0.5708             nan     0.1000   -0.0020
   380        0.5604             nan     0.1000   -0.0006
   400        0.5559             nan     0.1000   -0.0010
   420        0.5481             nan     0.1000   -0.0010
   440        0.5401             nan     0.1000   -0.0008
   460        0.5350             nan     0.1000   -0.0007
   480        0.5301             nan     0.1000   -0.0015
   500        0.5235             nan     0.1000   -0.0004
   520        0.5174             nan     0.1000   -0.0025
   540        0.5112             nan     0.1000   -0.0006
   560        0.5044             nan     0.1000   -0.0009
   580        0.4986             nan     0.1000   -0.0014
   600        0.4933             nan     0.1000   -0.0006
   620        0.4882             nan     0.1000   -0.0006
   640        0.4850             nan     0.1000   -0.0007
   660        0.4803             nan     0.1000   -0.0007
   680        0.4743             nan     0.1000   -0.0008
   700        0.4706             nan     0.1000   -0.0009
   720        0.4656             nan     0.1000   -0.0014
   740        0.4615             nan     0.1000   -0.0015
   760        0.4575             nan     0.1000   -0.0007
   780        0.4555             nan     0.1000   -0.0011
   800        0.4515             nan     0.1000   -0.0008
   820        0.4475             nan     0.1000   -0.0007
   840        0.4438             nan     0.1000   -0.0008
   860        0.4402             nan     0.1000   -0.0008
   880        0.4373             nan     0.1000   -0.0015
   900        0.4334             nan     0.1000   -0.0008
   920        0.4291             nan     0.1000   -0.0011
   940        0.4254             nan     0.1000   -0.0004
   960        0.4220             nan     0.1000   -0.0008
   980        0.4193             nan     0.1000   -0.0008
  1000        0.4182             nan     0.1000   -0.0006
  1020        0.4163             nan     0.1000   -0.0013
  1040        0.4143             nan     0.1000   -0.0011
  1060        0.4107             nan     0.1000   -0.0005
  1080        0.4091             nan     0.1000   -0.0005
  1100        0.4062             nan     0.1000   -0.0006

- Fold06.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2556             nan     0.1000    0.0366
     2        1.1916             nan     0.1000    0.0313
     3        1.1399             nan     0.1000    0.0231
     4        1.0955             nan     0.1000    0.0222
     5        1.0561             nan     0.1000    0.0171
     6        1.0289             nan     0.1000    0.0130
     7        1.0044             nan     0.1000    0.0111
     8        0.9803             nan     0.1000    0.0099
     9        0.9616             nan     0.1000    0.0061
    10        0.9434             nan     0.1000    0.0078
    20        0.8499             nan     0.1000    0.0006
    40        0.7742             nan     0.1000    0.0001
    60        0.7288             nan     0.1000   -0.0005
    80        0.6962             nan     0.1000   -0.0018
   100        0.6682             nan     0.1000   -0.0011
   120        0.6420             nan     0.1000   -0.0017
   140        0.6218             nan     0.1000   -0.0012
   160        0.6079             nan     0.1000   -0.0011
   180        0.5869             nan     0.1000   -0.0012
   200        0.5686             nan     0.1000    0.0001
   220        0.5538             nan     0.1000   -0.0004
   240        0.5373             nan     0.1000   -0.0008
   260        0.5259             nan     0.1000   -0.0015
   280        0.5148             nan     0.1000   -0.0007
   300        0.5018             nan     0.1000   -0.0017
   320        0.4896             nan     0.1000   -0.0008
   340        0.4784             nan     0.1000   -0.0017
   360        0.4695             nan     0.1000   -0.0009
   380        0.4627             nan     0.1000   -0.0016
   400        0.4553             nan     0.1000   -0.0008
   420        0.4425             nan     0.1000   -0.0008
   440        0.4342             nan     0.1000   -0.0008
   460        0.4266             nan     0.1000   -0.0010
   480        0.4187             nan     0.1000   -0.0013
   500        0.4132             nan     0.1000   -0.0014
   520        0.4067             nan     0.1000   -0.0009
   540        0.4011             nan     0.1000   -0.0012
   560        0.3950             nan     0.1000   -0.0019
   580        0.3911             nan     0.1000   -0.0019
   600        0.3843             nan     0.1000   -0.0018
   620        0.3777             nan     0.1000   -0.0010
   640        0.3722             nan     0.1000   -0.0008
   660        0.3659             nan     0.1000   -0.0013
   680        0.3587             nan     0.1000   -0.0011
   700        0.3549             nan     0.1000   -0.0007
   720        0.3513             nan     0.1000   -0.0011
   740        0.3466             nan     0.1000   -0.0013
   760        0.3437             nan     0.1000   -0.0010
   780        0.3388             nan     0.1000   -0.0006
   800        0.3355             nan     0.1000   -0.0005
   820        0.3312             nan     0.1000   -0.0008
   840        0.3265             nan     0.1000   -0.0009
   860        0.3221             nan     0.1000   -0.0009
   880        0.3197             nan     0.1000   -0.0009
   900        0.3172             nan     0.1000   -0.0012
   920        0.3124             nan     0.1000   -0.0012
   940        0.3096             nan     0.1000   -0.0010
   960        0.3046             nan     0.1000   -0.0010
   980        0.3011             nan     0.1000   -0.0007
  1000        0.2979             nan     0.1000   -0.0010
  1020        0.2943             nan     0.1000   -0.0005
  1040        0.2895             nan     0.1000   -0.0009
  1060        0.2870             nan     0.1000   -0.0008
  1080        0.2842             nan     0.1000   -0.0007
  1100        0.2825             nan     0.1000   -0.0006

- Fold06.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3257             nan     0.0100    0.0030
     2        1.3195             nan     0.0100    0.0029
     3        1.3134             nan     0.0100    0.0027
     4        1.3086             nan     0.0100    0.0027
     5        1.3028             nan     0.0100    0.0028
     6        1.2969             nan     0.0100    0.0027
     7        1.2911             nan     0.0100    0.0027
     8        1.2857             nan     0.0100    0.0026
     9        1.2808             nan     0.0100    0.0026
    10        1.2755             nan     0.0100    0.0025
    20        1.2293             nan     0.0100    0.0019
    40        1.1586             nan     0.0100    0.0014
    60        1.1106             nan     0.0100    0.0011
    80        1.0739             nan     0.0100    0.0008
   100        1.0438             nan     0.0100    0.0006
   120        1.0196             nan     0.0100    0.0005
   140        0.9992             nan     0.0100    0.0004
   160        0.9821             nan     0.0100    0.0003
   180        0.9670             nan     0.0100    0.0002
   200        0.9538             nan     0.0100    0.0002
   220        0.9421             nan     0.0100    0.0001
   240        0.9316             nan     0.0100    0.0002
   260        0.9221             nan     0.0100    0.0002
   280        0.9133             nan     0.0100    0.0001
   300        0.9053             nan     0.0100    0.0002
   320        0.8985             nan     0.0100    0.0000
   340        0.8921             nan     0.0100    0.0001
   360        0.8863             nan     0.0100    0.0001
   380        0.8805             nan     0.0100    0.0000
   400        0.8756             nan     0.0100   -0.0000
   420        0.8708             nan     0.0100   -0.0001
   440        0.8664             nan     0.0100    0.0000
   460        0.8621             nan     0.0100    0.0000
   480        0.8585             nan     0.0100    0.0000
   500        0.8545             nan     0.0100    0.0000
   520        0.8508             nan     0.0100    0.0000
   540        0.8476             nan     0.0100    0.0000
   560        0.8442             nan     0.0100    0.0000
   580        0.8411             nan     0.0100   -0.0001
   600        0.8382             nan     0.0100   -0.0000
   620        0.8355             nan     0.0100   -0.0001
   640        0.8327             nan     0.0100   -0.0000
   660        0.8299             nan     0.0100   -0.0001
   680        0.8273             nan     0.0100    0.0000
   700        0.8249             nan     0.0100    0.0000
   720        0.8222             nan     0.0100   -0.0000
   740        0.8196             nan     0.0100   -0.0000
   760        0.8173             nan     0.0100    0.0000
   780        0.8151             nan     0.0100   -0.0001
   800        0.8128             nan     0.0100   -0.0000
   820        0.8109             nan     0.0100   -0.0001
   840        0.8087             nan     0.0100   -0.0000
   860        0.8067             nan     0.0100   -0.0000
   880        0.8050             nan     0.0100   -0.0001
   900        0.8032             nan     0.0100    0.0000
   920        0.8013             nan     0.0100   -0.0000
   940        0.7996             nan     0.0100   -0.0002
   960        0.7980             nan     0.0100   -0.0001
   980        0.7963             nan     0.0100   -0.0000
  1000        0.7949             nan     0.0100   -0.0000
  1020        0.7933             nan     0.0100   -0.0001
  1040        0.7920             nan     0.0100   -0.0000
  1060        0.7908             nan     0.0100   -0.0001
  1080        0.7895             nan     0.0100   -0.0000
  1100        0.7880             nan     0.0100   -0.0001

- Fold07.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3248             nan     0.0100    0.0038
     2        1.3173             nan     0.0100    0.0036
     3        1.3103             nan     0.0100    0.0036
     4        1.3029             nan     0.0100    0.0035
     5        1.2958             nan     0.0100    0.0032
     6        1.2887             nan     0.0100    0.0033
     7        1.2823             nan     0.0100    0.0030
     8        1.2756             nan     0.0100    0.0031
     9        1.2697             nan     0.0100    0.0031
    10        1.2635             nan     0.0100    0.0033
    20        1.2071             nan     0.0100    0.0024
    40        1.1191             nan     0.0100    0.0019
    60        1.0552             nan     0.0100    0.0012
    80        1.0074             nan     0.0100    0.0009
   100        0.9708             nan     0.0100    0.0007
   120        0.9426             nan     0.0100    0.0006
   140        0.9205             nan     0.0100    0.0003
   160        0.9027             nan     0.0100    0.0002
   180        0.8863             nan     0.0100    0.0002
   200        0.8735             nan     0.0100    0.0003
   220        0.8617             nan     0.0100    0.0001
   240        0.8516             nan     0.0100    0.0001
   260        0.8432             nan     0.0100    0.0001
   280        0.8347             nan     0.0100    0.0001
   300        0.8272             nan     0.0100    0.0001
   320        0.8200             nan     0.0100    0.0002
   340        0.8141             nan     0.0100    0.0000
   360        0.8083             nan     0.0100    0.0000
   380        0.8022             nan     0.0100    0.0001
   400        0.7971             nan     0.0100   -0.0001
   420        0.7927             nan     0.0100    0.0001
   440        0.7884             nan     0.0100   -0.0001
   460        0.7840             nan     0.0100   -0.0000
   480        0.7803             nan     0.0100   -0.0000
   500        0.7761             nan     0.0100    0.0001
   520        0.7724             nan     0.0100   -0.0000
   540        0.7684             nan     0.0100   -0.0000
   560        0.7646             nan     0.0100   -0.0001
   580        0.7614             nan     0.0100   -0.0001
   600        0.7580             nan     0.0100    0.0000
   620        0.7552             nan     0.0100   -0.0000
   640        0.7521             nan     0.0100   -0.0001
   660        0.7491             nan     0.0100   -0.0001
   680        0.7463             nan     0.0100   -0.0001
   700        0.7435             nan     0.0100   -0.0000
   720        0.7410             nan     0.0100    0.0000
   740        0.7386             nan     0.0100   -0.0001
   760        0.7363             nan     0.0100   -0.0001
   780        0.7340             nan     0.0100   -0.0001
   800        0.7313             nan     0.0100   -0.0001
   820        0.7291             nan     0.0100   -0.0001
   840        0.7265             nan     0.0100   -0.0001
   860        0.7244             nan     0.0100   -0.0001
   880        0.7225             nan     0.0100   -0.0001
   900        0.7202             nan     0.0100   -0.0000
   920        0.7177             nan     0.0100   -0.0001
   940        0.7158             nan     0.0100   -0.0001
   960        0.7141             nan     0.0100   -0.0001
   980        0.7119             nan     0.0100   -0.0001
  1000        0.7097             nan     0.0100   -0.0000
  1020        0.7081             nan     0.0100   -0.0001
  1040        0.7065             nan     0.0100   -0.0001
  1060        0.7044             nan     0.0100   -0.0002
  1080        0.7024             nan     0.0100   -0.0001
  1100        0.7006             nan     0.0100   -0.0001

- Fold07.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3245             nan     0.0100    0.0039
     2        1.3160             nan     0.0100    0.0042
     3        1.3085             nan     0.0100    0.0036
     4        1.3007             nan     0.0100    0.0035
     5        1.2928             nan     0.0100    0.0037
     6        1.2858             nan     0.0100    0.0032
     7        1.2787             nan     0.0100    0.0035
     8        1.2722             nan     0.0100    0.0034
     9        1.2654             nan     0.0100    0.0032
    10        1.2588             nan     0.0100    0.0031
    20        1.1952             nan     0.0100    0.0025
    40        1.0985             nan     0.0100    0.0018
    60        1.0278             nan     0.0100    0.0014
    80        0.9754             nan     0.0100    0.0010
   100        0.9376             nan     0.0100    0.0005
   120        0.9080             nan     0.0100    0.0004
   140        0.8849             nan     0.0100    0.0004
   160        0.8673             nan     0.0100    0.0003
   180        0.8513             nan     0.0100    0.0003
   200        0.8370             nan     0.0100    0.0003
   220        0.8242             nan     0.0100    0.0002
   240        0.8127             nan     0.0100   -0.0000
   260        0.8027             nan     0.0100    0.0001
   280        0.7943             nan     0.0100    0.0000
   300        0.7866             nan     0.0100   -0.0001
   320        0.7794             nan     0.0100    0.0001
   340        0.7725             nan     0.0100   -0.0000
   360        0.7665             nan     0.0100   -0.0000
   380        0.7608             nan     0.0100    0.0000
   400        0.7556             nan     0.0100   -0.0000
   420        0.7507             nan     0.0100   -0.0001
   440        0.7459             nan     0.0100   -0.0001
   460        0.7412             nan     0.0100   -0.0001
   480        0.7365             nan     0.0100   -0.0001
   500        0.7325             nan     0.0100   -0.0001
   520        0.7278             nan     0.0100   -0.0000
   540        0.7239             nan     0.0100   -0.0001
   560        0.7202             nan     0.0100   -0.0001
   580        0.7160             nan     0.0100   -0.0000
   600        0.7121             nan     0.0100   -0.0001
   620        0.7085             nan     0.0100   -0.0000
   640        0.7048             nan     0.0100   -0.0001
   660        0.7008             nan     0.0100   -0.0002
   680        0.6970             nan     0.0100   -0.0000
   700        0.6938             nan     0.0100   -0.0001
   720        0.6909             nan     0.0100   -0.0001
   740        0.6877             nan     0.0100   -0.0002
   760        0.6843             nan     0.0100   -0.0000
   780        0.6809             nan     0.0100   -0.0002
   800        0.6778             nan     0.0100   -0.0000
   820        0.6751             nan     0.0100   -0.0002
   840        0.6727             nan     0.0100   -0.0001
   860        0.6704             nan     0.0100   -0.0001
   880        0.6678             nan     0.0100   -0.0001
   900        0.6649             nan     0.0100   -0.0002
   920        0.6619             nan     0.0100   -0.0000
   940        0.6589             nan     0.0100   -0.0002
   960        0.6565             nan     0.0100   -0.0001
   980        0.6536             nan     0.0100   -0.0001
  1000        0.6507             nan     0.0100   -0.0001
  1020        0.6482             nan     0.0100   -0.0002
  1040        0.6454             nan     0.0100   -0.0000
  1060        0.6430             nan     0.0100   -0.0001
  1080        0.6408             nan     0.0100   -0.0001
  1100        0.6383             nan     0.0100   -0.0001

- Fold07.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2750             nan     0.1000    0.0286
     2        1.2267             nan     0.1000    0.0236
     3        1.1912             nan     0.1000    0.0189
     4        1.1570             nan     0.1000    0.0158
     5        1.1324             nan     0.1000    0.0133
     6        1.1077             nan     0.1000    0.0110
     7        1.0910             nan     0.1000    0.0090
     8        1.0756             nan     0.1000    0.0076
     9        1.0589             nan     0.1000    0.0069
    10        1.0468             nan     0.1000    0.0062
    20        0.9499             nan     0.1000    0.0020
    40        0.8746             nan     0.1000   -0.0000
    60        0.8360             nan     0.1000   -0.0006
    80        0.8116             nan     0.1000   -0.0008
   100        0.7941             nan     0.1000   -0.0008
   120        0.7804             nan     0.1000   -0.0007
   140        0.7682             nan     0.1000   -0.0015
   160        0.7621             nan     0.1000   -0.0004
   180        0.7563             nan     0.1000   -0.0009
   200        0.7479             nan     0.1000   -0.0006
   220        0.7427             nan     0.1000   -0.0004
   240        0.7380             nan     0.1000   -0.0008
   260        0.7332             nan     0.1000   -0.0009
   280        0.7306             nan     0.1000   -0.0010
   300        0.7263             nan     0.1000   -0.0010
   320        0.7231             nan     0.1000   -0.0012
   340        0.7201             nan     0.1000   -0.0008
   360        0.7170             nan     0.1000   -0.0009
   380        0.7136             nan     0.1000   -0.0002
   400        0.7112             nan     0.1000   -0.0007
   420        0.7085             nan     0.1000   -0.0007
   440        0.7055             nan     0.1000   -0.0007
   460        0.7030             nan     0.1000   -0.0010
   480        0.7004             nan     0.1000   -0.0009
   500        0.6979             nan     0.1000   -0.0007
   520        0.6955             nan     0.1000   -0.0013
   540        0.6934             nan     0.1000   -0.0005
   560        0.6919             nan     0.1000   -0.0013
   580        0.6905             nan     0.1000   -0.0009
   600        0.6887             nan     0.1000   -0.0010
   620        0.6862             nan     0.1000   -0.0008
   640        0.6841             nan     0.1000   -0.0005
   660        0.6825             nan     0.1000   -0.0005
   680        0.6817             nan     0.1000   -0.0011
   700        0.6795             nan     0.1000   -0.0006
   720        0.6785             nan     0.1000   -0.0007
   740        0.6766             nan     0.1000   -0.0013
   760        0.6741             nan     0.1000   -0.0003
   780        0.6729             nan     0.1000   -0.0013
   800        0.6726             nan     0.1000   -0.0008
   820        0.6708             nan     0.1000   -0.0002
   840        0.6697             nan     0.1000   -0.0015
   860        0.6657             nan     0.1000   -0.0007
   880        0.6634             nan     0.1000   -0.0002
   900        0.6632             nan     0.1000   -0.0004
   920        0.6607             nan     0.1000   -0.0006
   940        0.6590             nan     0.1000   -0.0005
   960        0.6586             nan     0.1000   -0.0014
   980        0.6578             nan     0.1000   -0.0013
  1000        0.6562             nan     0.1000   -0.0005
  1020        0.6546             nan     0.1000   -0.0006
  1040        0.6528             nan     0.1000   -0.0006
  1060        0.6516             nan     0.1000   -0.0005
  1080        0.6509             nan     0.1000   -0.0012
  1100        0.6478             nan     0.1000   -0.0014

- Fold07.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2639             nan     0.1000    0.0328
     2        1.2031             nan     0.1000    0.0273
     3        1.1577             nan     0.1000    0.0224
     4        1.1174             nan     0.1000    0.0214
     5        1.0848             nan     0.1000    0.0165
     6        1.0563             nan     0.1000    0.0130
     7        1.0300             nan     0.1000    0.0116
     8        1.0069             nan     0.1000    0.0105
     9        0.9879             nan     0.1000    0.0082
    10        0.9703             nan     0.1000    0.0065
    20        0.8722             nan     0.1000    0.0021
    40        0.7988             nan     0.1000   -0.0012
    60        0.7612             nan     0.1000   -0.0007
    80        0.7349             nan     0.1000   -0.0013
   100        0.7134             nan     0.1000   -0.0012
   120        0.6932             nan     0.1000   -0.0013
   140        0.6794             nan     0.1000   -0.0022
   160        0.6683             nan     0.1000   -0.0012
   180        0.6539             nan     0.1000   -0.0010
   200        0.6408             nan     0.1000   -0.0008
   220        0.6307             nan     0.1000   -0.0010
   240        0.6207             nan     0.1000   -0.0010
   260        0.6099             nan     0.1000   -0.0010
   280        0.6016             nan     0.1000   -0.0014
   300        0.5934             nan     0.1000   -0.0018
   320        0.5840             nan     0.1000   -0.0012
   340        0.5760             nan     0.1000   -0.0008
   360        0.5697             nan     0.1000   -0.0007
   380        0.5620             nan     0.1000   -0.0010
   400        0.5541             nan     0.1000   -0.0003
   420        0.5476             nan     0.1000   -0.0015
   440        0.5436             nan     0.1000   -0.0008
   460        0.5361             nan     0.1000   -0.0004
   480        0.5306             nan     0.1000   -0.0008
   500        0.5252             nan     0.1000   -0.0009
   520        0.5197             nan     0.1000   -0.0003
   540        0.5135             nan     0.1000   -0.0012
   560        0.5082             nan     0.1000   -0.0016
   580        0.5017             nan     0.1000   -0.0008
   600        0.4971             nan     0.1000   -0.0011
   620        0.4925             nan     0.1000   -0.0013
   640        0.4863             nan     0.1000   -0.0002
   660        0.4815             nan     0.1000   -0.0018
   680        0.4781             nan     0.1000   -0.0006
   700        0.4734             nan     0.1000   -0.0016
   720        0.4683             nan     0.1000   -0.0009
   740        0.4630             nan     0.1000   -0.0006
   760        0.4606             nan     0.1000   -0.0012
   780        0.4568             nan     0.1000   -0.0005
   800        0.4545             nan     0.1000   -0.0012
   820        0.4502             nan     0.1000   -0.0012
   840        0.4478             nan     0.1000   -0.0015
   860        0.4447             nan     0.1000   -0.0006
   880        0.4401             nan     0.1000   -0.0017
   900        0.4352             nan     0.1000   -0.0003
   920        0.4318             nan     0.1000   -0.0008
   940        0.4292             nan     0.1000   -0.0005
   960        0.4265             nan     0.1000   -0.0005
   980        0.4233             nan     0.1000   -0.0006
  1000        0.4195             nan     0.1000   -0.0005
  1020        0.4161             nan     0.1000   -0.0007
  1040        0.4138             nan     0.1000   -0.0005
  1060        0.4106             nan     0.1000   -0.0006
  1080        0.4073             nan     0.1000   -0.0012
  1100        0.4032             nan     0.1000   -0.0009

- Fold07.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2553             nan     0.1000    0.0371
     2        1.1903             nan     0.1000    0.0286
     3        1.1397             nan     0.1000    0.0244
     4        1.0965             nan     0.1000    0.0208
     5        1.0558             nan     0.1000    0.0165
     6        1.0224             nan     0.1000    0.0140
     7        0.9956             nan     0.1000    0.0134
     8        0.9718             nan     0.1000    0.0096
     9        0.9509             nan     0.1000    0.0083
    10        0.9333             nan     0.1000    0.0061
    20        0.8417             nan     0.1000    0.0017
    40        0.7675             nan     0.1000    0.0006
    60        0.7170             nan     0.1000   -0.0006
    80        0.6893             nan     0.1000   -0.0010
   100        0.6613             nan     0.1000   -0.0014
   120        0.6429             nan     0.1000   -0.0013
   140        0.6242             nan     0.1000   -0.0002
   160        0.6034             nan     0.1000   -0.0014
   180        0.5913             nan     0.1000   -0.0011
   200        0.5775             nan     0.1000   -0.0019
   220        0.5618             nan     0.1000   -0.0016
   240        0.5504             nan     0.1000   -0.0011
   260        0.5328             nan     0.1000    0.0002
   280        0.5213             nan     0.1000   -0.0016
   300        0.5103             nan     0.1000   -0.0017
   320        0.5021             nan     0.1000   -0.0010
   340        0.4928             nan     0.1000   -0.0014
   360        0.4852             nan     0.1000   -0.0014
   380        0.4748             nan     0.1000   -0.0011
   400        0.4642             nan     0.1000   -0.0013
   420        0.4530             nan     0.1000   -0.0027
   440        0.4422             nan     0.1000   -0.0009
   460        0.4349             nan     0.1000   -0.0004
   480        0.4255             nan     0.1000   -0.0009
   500        0.4187             nan     0.1000   -0.0017
   520        0.4091             nan     0.1000   -0.0004
   540        0.4032             nan     0.1000   -0.0010
   560        0.3976             nan     0.1000   -0.0014
   580        0.3919             nan     0.1000   -0.0013
   600        0.3852             nan     0.1000   -0.0007
   620        0.3788             nan     0.1000   -0.0005
   640        0.3741             nan     0.1000   -0.0008
   660        0.3674             nan     0.1000   -0.0005
   680        0.3609             nan     0.1000   -0.0008
   700        0.3555             nan     0.1000   -0.0012
   720        0.3513             nan     0.1000   -0.0011
   740        0.3465             nan     0.1000   -0.0013
   760        0.3422             nan     0.1000   -0.0014
   780        0.3355             nan     0.1000   -0.0015
   800        0.3318             nan     0.1000   -0.0006
   820        0.3293             nan     0.1000   -0.0009
   840        0.3260             nan     0.1000   -0.0017
   860        0.3222             nan     0.1000   -0.0007
   880        0.3173             nan     0.1000   -0.0009
   900        0.3120             nan     0.1000   -0.0009
   920        0.3072             nan     0.1000   -0.0007
   940        0.3028             nan     0.1000   -0.0007
   960        0.2985             nan     0.1000   -0.0004
   980        0.2954             nan     0.1000   -0.0006
  1000        0.2909             nan     0.1000   -0.0011
  1020        0.2867             nan     0.1000   -0.0007
  1040        0.2830             nan     0.1000   -0.0009
  1060        0.2801             nan     0.1000   -0.0017
  1080        0.2762             nan     0.1000   -0.0006
  1100        0.2728             nan     0.1000   -0.0005

- Fold07.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3263             nan     0.0100    0.0028
     2        1.3209             nan     0.0100    0.0028
     3        1.3154             nan     0.0100    0.0028
     4        1.3103             nan     0.0100    0.0027
     5        1.3047             nan     0.0100    0.0027
     6        1.2995             nan     0.0100    0.0026
     7        1.2939             nan     0.0100    0.0026
     8        1.2884             nan     0.0100    0.0025
     9        1.2835             nan     0.0100    0.0025
    10        1.2785             nan     0.0100    0.0024
    20        1.2349             nan     0.0100    0.0020
    40        1.1678             nan     0.0100    0.0015
    60        1.1204             nan     0.0100    0.0009
    80        1.0830             nan     0.0100    0.0008
   100        1.0527             nan     0.0100    0.0007
   120        1.0272             nan     0.0100    0.0005
   140        1.0065             nan     0.0100    0.0004
   160        0.9882             nan     0.0100    0.0003
   180        0.9722             nan     0.0100    0.0003
   200        0.9592             nan     0.0100    0.0002
   220        0.9472             nan     0.0100    0.0002
   240        0.9362             nan     0.0100    0.0002
   260        0.9254             nan     0.0100    0.0002
   280        0.9163             nan     0.0100    0.0001
   300        0.9088             nan     0.0100    0.0000
   320        0.9017             nan     0.0100    0.0001
   340        0.8953             nan     0.0100    0.0002
   360        0.8888             nan     0.0100    0.0000
   380        0.8832             nan     0.0100    0.0001
   400        0.8778             nan     0.0100   -0.0000
   420        0.8728             nan     0.0100    0.0001
   440        0.8680             nan     0.0100    0.0001
   460        0.8634             nan     0.0100    0.0000
   480        0.8589             nan     0.0100    0.0001
   500        0.8552             nan     0.0100    0.0000
   520        0.8513             nan     0.0100    0.0000
   540        0.8478             nan     0.0100   -0.0000
   560        0.8446             nan     0.0100   -0.0000
   580        0.8415             nan     0.0100   -0.0000
   600        0.8386             nan     0.0100   -0.0001
   620        0.8355             nan     0.0100    0.0001
   640        0.8328             nan     0.0100   -0.0001
   660        0.8302             nan     0.0100   -0.0001
   680        0.8276             nan     0.0100   -0.0001
   700        0.8249             nan     0.0100    0.0000
   720        0.8225             nan     0.0100   -0.0000
   740        0.8200             nan     0.0100    0.0000
   760        0.8176             nan     0.0100   -0.0000
   780        0.8152             nan     0.0100   -0.0000
   800        0.8131             nan     0.0100   -0.0001
   820        0.8111             nan     0.0100    0.0000
   840        0.8093             nan     0.0100   -0.0001
   860        0.8071             nan     0.0100   -0.0001
   880        0.8051             nan     0.0100    0.0000
   900        0.8031             nan     0.0100   -0.0000
   920        0.8013             nan     0.0100    0.0000
   940        0.7997             nan     0.0100   -0.0001
   960        0.7983             nan     0.0100   -0.0001
   980        0.7969             nan     0.0100   -0.0000
  1000        0.7953             nan     0.0100   -0.0000
  1020        0.7940             nan     0.0100   -0.0001
  1040        0.7924             nan     0.0100   -0.0000
  1060        0.7908             nan     0.0100    0.0000
  1080        0.7893             nan     0.0100   -0.0001
  1100        0.7879             nan     0.0100   -0.0001

- Fold08.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3237             nan     0.0100    0.0038
     2        1.3163             nan     0.0100    0.0036
     3        1.3090             nan     0.0100    0.0034
     4        1.3022             nan     0.0100    0.0033
     5        1.2949             nan     0.0100    0.0031
     6        1.2882             nan     0.0100    0.0033
     7        1.2815             nan     0.0100    0.0030
     8        1.2747             nan     0.0100    0.0031
     9        1.2685             nan     0.0100    0.0030
    10        1.2621             nan     0.0100    0.0030
    20        1.2067             nan     0.0100    0.0025
    40        1.1192             nan     0.0100    0.0017
    60        1.0554             nan     0.0100    0.0013
    80        1.0069             nan     0.0100    0.0010
   100        0.9695             nan     0.0100    0.0006
   120        0.9412             nan     0.0100    0.0005
   140        0.9181             nan     0.0100    0.0005
   160        0.8997             nan     0.0100    0.0004
   180        0.8834             nan     0.0100    0.0002
   200        0.8685             nan     0.0100    0.0002
   220        0.8565             nan     0.0100    0.0001
   240        0.8459             nan     0.0100    0.0000
   260        0.8369             nan     0.0100    0.0001
   280        0.8286             nan     0.0100    0.0000
   300        0.8206             nan     0.0100    0.0001
   320        0.8136             nan     0.0100   -0.0000
   340        0.8076             nan     0.0100   -0.0001
   360        0.8018             nan     0.0100   -0.0000
   380        0.7963             nan     0.0100   -0.0000
   400        0.7914             nan     0.0100   -0.0000
   420        0.7865             nan     0.0100   -0.0000
   440        0.7819             nan     0.0100   -0.0001
   460        0.7781             nan     0.0100   -0.0001
   480        0.7743             nan     0.0100   -0.0000
   500        0.7705             nan     0.0100   -0.0000
   520        0.7669             nan     0.0100    0.0000
   540        0.7639             nan     0.0100   -0.0001
   560        0.7604             nan     0.0100   -0.0001
   580        0.7566             nan     0.0100   -0.0001
   600        0.7529             nan     0.0100   -0.0001
   620        0.7500             nan     0.0100   -0.0000
   640        0.7473             nan     0.0100   -0.0001
   660        0.7447             nan     0.0100   -0.0000
   680        0.7424             nan     0.0100   -0.0001
   700        0.7398             nan     0.0100   -0.0000
   720        0.7369             nan     0.0100    0.0000
   740        0.7342             nan     0.0100   -0.0000
   760        0.7317             nan     0.0100   -0.0001
   780        0.7291             nan     0.0100   -0.0001
   800        0.7268             nan     0.0100   -0.0001
   820        0.7245             nan     0.0100   -0.0000
   840        0.7222             nan     0.0100   -0.0000
   860        0.7201             nan     0.0100   -0.0001
   880        0.7176             nan     0.0100   -0.0001
   900        0.7154             nan     0.0100   -0.0001
   920        0.7130             nan     0.0100   -0.0001
   940        0.7109             nan     0.0100   -0.0001
   960        0.7088             nan     0.0100   -0.0002
   980        0.7070             nan     0.0100   -0.0000
  1000        0.7052             nan     0.0100   -0.0001
  1020        0.7029             nan     0.0100    0.0000
  1040        0.7008             nan     0.0100   -0.0000
  1060        0.6987             nan     0.0100   -0.0001
  1080        0.6968             nan     0.0100   -0.0000
  1100        0.6949             nan     0.0100   -0.0002

- Fold08.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3230             nan     0.0100    0.0042
     2        1.3153             nan     0.0100    0.0038
     3        1.3071             nan     0.0100    0.0036
     4        1.2992             nan     0.0100    0.0039
     5        1.2918             nan     0.0100    0.0037
     6        1.2842             nan     0.0100    0.0035
     7        1.2771             nan     0.0100    0.0036
     8        1.2708             nan     0.0100    0.0031
     9        1.2637             nan     0.0100    0.0033
    10        1.2568             nan     0.0100    0.0035
    20        1.1934             nan     0.0100    0.0028
    40        1.0960             nan     0.0100    0.0020
    60        1.0252             nan     0.0100    0.0015
    80        0.9723             nan     0.0100    0.0011
   100        0.9313             nan     0.0100    0.0007
   120        0.9017             nan     0.0100    0.0003
   140        0.8769             nan     0.0100    0.0004
   160        0.8577             nan     0.0100    0.0003
   180        0.8417             nan     0.0100    0.0002
   200        0.8272             nan     0.0100    0.0001
   220        0.8152             nan     0.0100    0.0001
   240        0.8040             nan     0.0100    0.0001
   260        0.7947             nan     0.0100    0.0001
   280        0.7859             nan     0.0100    0.0000
   300        0.7782             nan     0.0100    0.0001
   320        0.7716             nan     0.0100   -0.0002
   340        0.7650             nan     0.0100    0.0001
   360        0.7589             nan     0.0100    0.0001
   380        0.7534             nan     0.0100   -0.0001
   400        0.7478             nan     0.0100   -0.0001
   420        0.7426             nan     0.0100    0.0000
   440        0.7379             nan     0.0100   -0.0001
   460        0.7331             nan     0.0100   -0.0001
   480        0.7284             nan     0.0100   -0.0002
   500        0.7238             nan     0.0100   -0.0001
   520        0.7190             nan     0.0100   -0.0001
   540        0.7146             nan     0.0100   -0.0000
   560        0.7104             nan     0.0100   -0.0000
   580        0.7065             nan     0.0100   -0.0001
   600        0.7025             nan     0.0100   -0.0001
   620        0.6986             nan     0.0100   -0.0001
   640        0.6949             nan     0.0100   -0.0001
   660        0.6917             nan     0.0100   -0.0002
   680        0.6880             nan     0.0100   -0.0001
   700        0.6846             nan     0.0100    0.0000
   720        0.6812             nan     0.0100   -0.0001
   740        0.6784             nan     0.0100   -0.0001
   760        0.6752             nan     0.0100   -0.0001
   780        0.6722             nan     0.0100   -0.0001
   800        0.6693             nan     0.0100   -0.0002
   820        0.6659             nan     0.0100   -0.0001
   840        0.6637             nan     0.0100   -0.0001
   860        0.6610             nan     0.0100   -0.0001
   880        0.6580             nan     0.0100   -0.0001
   900        0.6553             nan     0.0100    0.0000
   920        0.6529             nan     0.0100   -0.0001
   940        0.6500             nan     0.0100   -0.0000
   960        0.6473             nan     0.0100   -0.0002
   980        0.6448             nan     0.0100    0.0000
  1000        0.6423             nan     0.0100   -0.0001
  1020        0.6397             nan     0.0100   -0.0002
  1040        0.6372             nan     0.0100   -0.0001
  1060        0.6347             nan     0.0100   -0.0001
  1080        0.6325             nan     0.0100   -0.0001
  1100        0.6306             nan     0.0100   -0.0001

- Fold08.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2717             nan     0.1000    0.0265
     2        1.2279             nan     0.1000    0.0228
     3        1.1927             nan     0.1000    0.0179
     4        1.1635             nan     0.1000    0.0159
     5        1.1423             nan     0.1000    0.0073
     6        1.1176             nan     0.1000    0.0125
     7        1.0978             nan     0.1000    0.0101
     8        1.0810             nan     0.1000    0.0086
     9        1.0664             nan     0.1000    0.0058
    10        1.0528             nan     0.1000    0.0071
    20        0.9547             nan     0.1000    0.0035
    40        0.8766             nan     0.1000    0.0005
    60        0.8383             nan     0.1000   -0.0002
    80        0.8145             nan     0.1000    0.0000
   100        0.7970             nan     0.1000   -0.0003
   120        0.7833             nan     0.1000    0.0001
   140        0.7723             nan     0.1000   -0.0009
   160        0.7642             nan     0.1000   -0.0005
   180        0.7569             nan     0.1000   -0.0010
   200        0.7510             nan     0.1000   -0.0006
   220        0.7452             nan     0.1000   -0.0007
   240        0.7395             nan     0.1000   -0.0010
   260        0.7360             nan     0.1000   -0.0013
   280        0.7315             nan     0.1000   -0.0004
   300        0.7294             nan     0.1000   -0.0016
   320        0.7245             nan     0.1000   -0.0001
   340        0.7211             nan     0.1000   -0.0006
   360        0.7184             nan     0.1000   -0.0006
   380        0.7132             nan     0.1000   -0.0001
   400        0.7101             nan     0.1000   -0.0015
   420        0.7076             nan     0.1000   -0.0004
   440        0.7031             nan     0.1000   -0.0005
   460        0.7004             nan     0.1000   -0.0008
   480        0.6982             nan     0.1000   -0.0007
   500        0.6945             nan     0.1000   -0.0015
   520        0.6929             nan     0.1000   -0.0012
   540        0.6912             nan     0.1000   -0.0009
   560        0.6879             nan     0.1000   -0.0003
   580        0.6876             nan     0.1000   -0.0005
   600        0.6834             nan     0.1000   -0.0010
   620        0.6814             nan     0.1000   -0.0004
   640        0.6787             nan     0.1000   -0.0009
   660        0.6771             nan     0.1000   -0.0006
   680        0.6758             nan     0.1000   -0.0002
   700        0.6740             nan     0.1000   -0.0010
   720        0.6720             nan     0.1000   -0.0005
   740        0.6699             nan     0.1000   -0.0007
   760        0.6685             nan     0.1000   -0.0014
   780        0.6664             nan     0.1000   -0.0009
   800        0.6648             nan     0.1000   -0.0002
   820        0.6625             nan     0.1000   -0.0005
   840        0.6621             nan     0.1000   -0.0001
   860        0.6599             nan     0.1000   -0.0004
   880        0.6576             nan     0.1000   -0.0010
   900        0.6559             nan     0.1000   -0.0008
   920        0.6551             nan     0.1000   -0.0007
   940        0.6535             nan     0.1000   -0.0015
   960        0.6520             nan     0.1000   -0.0012
   980        0.6497             nan     0.1000   -0.0006
  1000        0.6484             nan     0.1000   -0.0011
  1020        0.6467             nan     0.1000   -0.0012
  1040        0.6456             nan     0.1000   -0.0009
  1060        0.6435             nan     0.1000   -0.0007
  1080        0.6426             nan     0.1000   -0.0008
  1100        0.6414             nan     0.1000   -0.0007

- Fold08.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2611             nan     0.1000    0.0350
     2        1.2077             nan     0.1000    0.0236
     3        1.1587             nan     0.1000    0.0258
     4        1.1198             nan     0.1000    0.0206
     5        1.0859             nan     0.1000    0.0184
     6        1.0561             nan     0.1000    0.0134
     7        1.0338             nan     0.1000    0.0108
     8        1.0096             nan     0.1000    0.0122
     9        0.9869             nan     0.1000    0.0096
    10        0.9688             nan     0.1000    0.0075
    20        0.8697             nan     0.1000    0.0002
    40        0.7940             nan     0.1000   -0.0001
    60        0.7506             nan     0.1000   -0.0000
    80        0.7247             nan     0.1000   -0.0013
   100        0.7044             nan     0.1000   -0.0021
   120        0.6878             nan     0.1000   -0.0004
   140        0.6733             nan     0.1000   -0.0013
   160        0.6614             nan     0.1000   -0.0012
   180        0.6527             nan     0.1000   -0.0007
   200        0.6375             nan     0.1000   -0.0007
   220        0.6239             nan     0.1000   -0.0012
   240        0.6115             nan     0.1000   -0.0007
   260        0.6008             nan     0.1000   -0.0012
   280        0.5906             nan     0.1000   -0.0014
   300        0.5820             nan     0.1000   -0.0008
   320        0.5722             nan     0.1000   -0.0017
   340        0.5646             nan     0.1000   -0.0005
   360        0.5590             nan     0.1000   -0.0009
   380        0.5515             nan     0.1000   -0.0007
   400        0.5462             nan     0.1000   -0.0009
   420        0.5376             nan     0.1000   -0.0017
   440        0.5299             nan     0.1000   -0.0008
   460        0.5229             nan     0.1000   -0.0008
   480        0.5184             nan     0.1000   -0.0028
   500        0.5137             nan     0.1000   -0.0012
   520        0.5079             nan     0.1000   -0.0010
   540        0.5038             nan     0.1000   -0.0012
   560        0.4976             nan     0.1000   -0.0004
   580        0.4933             nan     0.1000   -0.0014
   600        0.4875             nan     0.1000   -0.0008
   620        0.4819             nan     0.1000   -0.0013
   640        0.4774             nan     0.1000   -0.0009
   660        0.4731             nan     0.1000   -0.0008
   680        0.4692             nan     0.1000   -0.0007
   700        0.4640             nan     0.1000   -0.0009
   720        0.4598             nan     0.1000   -0.0006
   740        0.4563             nan     0.1000   -0.0009
   760        0.4512             nan     0.1000   -0.0011
   780        0.4457             nan     0.1000   -0.0005
   800        0.4426             nan     0.1000   -0.0009
   820        0.4403             nan     0.1000   -0.0011
   840        0.4353             nan     0.1000   -0.0005
   860        0.4313             nan     0.1000   -0.0004
   880        0.4289             nan     0.1000   -0.0018
   900        0.4254             nan     0.1000   -0.0011
   920        0.4217             nan     0.1000   -0.0003
   940        0.4181             nan     0.1000   -0.0003
   960        0.4158             nan     0.1000   -0.0011
   980        0.4122             nan     0.1000   -0.0011
  1000        0.4077             nan     0.1000   -0.0003
  1020        0.4040             nan     0.1000   -0.0011
  1040        0.4017             nan     0.1000   -0.0007
  1060        0.3978             nan     0.1000   -0.0007
  1080        0.3943             nan     0.1000   -0.0006
  1100        0.3916             nan     0.1000   -0.0003

- Fold08.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2543             nan     0.1000    0.0362
     2        1.1909             nan     0.1000    0.0294
     3        1.1407             nan     0.1000    0.0190
     4        1.0915             nan     0.1000    0.0219
     5        1.0554             nan     0.1000    0.0159
     6        1.0205             nan     0.1000    0.0166
     7        0.9914             nan     0.1000    0.0116
     8        0.9683             nan     0.1000    0.0095
     9        0.9453             nan     0.1000    0.0099
    10        0.9295             nan     0.1000    0.0059
    20        0.8240             nan     0.1000    0.0010
    40        0.7450             nan     0.1000   -0.0008
    60        0.7024             nan     0.1000   -0.0004
    80        0.6708             nan     0.1000   -0.0011
   100        0.6411             nan     0.1000   -0.0016
   120        0.6205             nan     0.1000   -0.0024
   140        0.5999             nan     0.1000   -0.0008
   160        0.5847             nan     0.1000   -0.0011
   180        0.5682             nan     0.1000   -0.0011
   200        0.5547             nan     0.1000   -0.0009
   220        0.5390             nan     0.1000   -0.0012
   240        0.5272             nan     0.1000   -0.0010
   260        0.5140             nan     0.1000   -0.0005
   280        0.5008             nan     0.1000   -0.0012
   300        0.4866             nan     0.1000   -0.0011
   320        0.4771             nan     0.1000   -0.0014
   340        0.4647             nan     0.1000   -0.0005
   360        0.4563             nan     0.1000   -0.0010
   380        0.4475             nan     0.1000   -0.0008
   400        0.4390             nan     0.1000   -0.0016
   420        0.4312             nan     0.1000   -0.0017
   440        0.4238             nan     0.1000   -0.0008
   460        0.4162             nan     0.1000   -0.0007
   480        0.4040             nan     0.1000   -0.0008
   500        0.3962             nan     0.1000   -0.0008
   520        0.3864             nan     0.1000   -0.0002
   540        0.3806             nan     0.1000   -0.0014
   560        0.3720             nan     0.1000   -0.0012
   580        0.3650             nan     0.1000   -0.0015
   600        0.3589             nan     0.1000   -0.0011
   620        0.3551             nan     0.1000   -0.0010
   640        0.3492             nan     0.1000   -0.0007
   660        0.3439             nan     0.1000   -0.0009
   680        0.3383             nan     0.1000   -0.0018
   700        0.3329             nan     0.1000   -0.0005
   720        0.3289             nan     0.1000   -0.0007
   740        0.3248             nan     0.1000   -0.0009
   760        0.3206             nan     0.1000   -0.0015
   780        0.3153             nan     0.1000   -0.0007
   800        0.3107             nan     0.1000   -0.0007
   820        0.3069             nan     0.1000   -0.0017
   840        0.3019             nan     0.1000   -0.0007
   860        0.2957             nan     0.1000   -0.0006
   880        0.2920             nan     0.1000   -0.0009
   900        0.2880             nan     0.1000   -0.0004
   920        0.2837             nan     0.1000   -0.0013
   940        0.2793             nan     0.1000   -0.0008
   960        0.2748             nan     0.1000   -0.0008
   980        0.2720             nan     0.1000   -0.0009
  1000        0.2677             nan     0.1000   -0.0008
  1020        0.2637             nan     0.1000   -0.0008
  1040        0.2608             nan     0.1000   -0.0004
  1060        0.2579             nan     0.1000   -0.0011
  1080        0.2542             nan     0.1000   -0.0003
  1100        0.2496             nan     0.1000   -0.0007

- Fold08.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3253             nan     0.0100    0.0030
     2        1.3197             nan     0.0100    0.0028
     3        1.3136             nan     0.0100    0.0028
     4        1.3083             nan     0.0100    0.0028
     5        1.3032             nan     0.0100    0.0026
     6        1.2978             nan     0.0100    0.0026
     7        1.2925             nan     0.0100    0.0027
     8        1.2874             nan     0.0100    0.0026
     9        1.2822             nan     0.0100    0.0027
    10        1.2767             nan     0.0100    0.0025
    20        1.2314             nan     0.0100    0.0021
    40        1.1622             nan     0.0100    0.0014
    60        1.1122             nan     0.0100    0.0008
    80        1.0742             nan     0.0100    0.0007
   100        1.0445             nan     0.0100    0.0006
   120        1.0211             nan     0.0100    0.0006
   140        1.0001             nan     0.0100    0.0004
   160        0.9820             nan     0.0100    0.0001
   180        0.9665             nan     0.0100    0.0003
   200        0.9522             nan     0.0100    0.0002
   220        0.9396             nan     0.0100    0.0003
   240        0.9285             nan     0.0100    0.0003
   260        0.9189             nan     0.0100    0.0003
   280        0.9097             nan     0.0100   -0.0000
   300        0.9018             nan     0.0100    0.0001
   320        0.8946             nan     0.0100    0.0001
   340        0.8880             nan     0.0100    0.0001
   360        0.8816             nan     0.0100    0.0000
   380        0.8760             nan     0.0100    0.0001
   400        0.8709             nan     0.0100   -0.0000
   420        0.8658             nan     0.0100    0.0000
   440        0.8610             nan     0.0100    0.0001
   460        0.8563             nan     0.0100    0.0001
   480        0.8520             nan     0.0100    0.0000
   500        0.8477             nan     0.0100    0.0001
   520        0.8440             nan     0.0100    0.0000
   540        0.8404             nan     0.0100   -0.0000
   560        0.8369             nan     0.0100    0.0000
   580        0.8335             nan     0.0100    0.0000
   600        0.8303             nan     0.0100   -0.0000
   620        0.8273             nan     0.0100   -0.0000
   640        0.8247             nan     0.0100   -0.0000
   660        0.8219             nan     0.0100   -0.0000
   680        0.8192             nan     0.0100   -0.0000
   700        0.8169             nan     0.0100   -0.0000
   720        0.8145             nan     0.0100   -0.0001
   740        0.8122             nan     0.0100   -0.0001
   760        0.8098             nan     0.0100   -0.0000
   780        0.8076             nan     0.0100   -0.0000
   800        0.8058             nan     0.0100   -0.0000
   820        0.8035             nan     0.0100   -0.0000
   840        0.8015             nan     0.0100   -0.0000
   860        0.7995             nan     0.0100   -0.0001
   880        0.7975             nan     0.0100   -0.0000
   900        0.7959             nan     0.0100   -0.0000
   920        0.7943             nan     0.0100   -0.0000
   940        0.7924             nan     0.0100   -0.0001
   960        0.7907             nan     0.0100    0.0000
   980        0.7890             nan     0.0100   -0.0000
  1000        0.7875             nan     0.0100   -0.0000
  1020        0.7863             nan     0.0100   -0.0001
  1040        0.7852             nan     0.0100   -0.0000
  1060        0.7836             nan     0.0100   -0.0000
  1080        0.7823             nan     0.0100   -0.0000
  1100        0.7809             nan     0.0100   -0.0000

- Fold09.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3241             nan     0.0100    0.0035
     2        1.3173             nan     0.0100    0.0034
     3        1.3101             nan     0.0100    0.0035
     4        1.3036             nan     0.0100    0.0033
     5        1.2964             nan     0.0100    0.0034
     6        1.2894             nan     0.0100    0.0035
     7        1.2825             nan     0.0100    0.0031
     8        1.2759             nan     0.0100    0.0031
     9        1.2700             nan     0.0100    0.0031
    10        1.2636             nan     0.0100    0.0030
    20        1.2065             nan     0.0100    0.0025
    40        1.1163             nan     0.0100    0.0017
    60        1.0512             nan     0.0100    0.0013
    80        1.0029             nan     0.0100    0.0010
   100        0.9651             nan     0.0100    0.0006
   120        0.9356             nan     0.0100    0.0006
   140        0.9126             nan     0.0100    0.0005
   160        0.8933             nan     0.0100    0.0003
   180        0.8782             nan     0.0100    0.0003
   200        0.8649             nan     0.0100    0.0002
   220        0.8528             nan     0.0100    0.0002
   240        0.8427             nan     0.0100    0.0001
   260        0.8335             nan     0.0100    0.0001
   280        0.8252             nan     0.0100    0.0001
   300        0.8180             nan     0.0100    0.0000
   320        0.8113             nan     0.0100   -0.0001
   340        0.8047             nan     0.0100    0.0000
   360        0.7990             nan     0.0100    0.0001
   380        0.7931             nan     0.0100    0.0000
   400        0.7882             nan     0.0100   -0.0001
   420        0.7833             nan     0.0100   -0.0000
   440        0.7788             nan     0.0100   -0.0001
   460        0.7744             nan     0.0100   -0.0000
   480        0.7708             nan     0.0100   -0.0000
   500        0.7671             nan     0.0100   -0.0001
   520        0.7632             nan     0.0100   -0.0000
   540        0.7596             nan     0.0100   -0.0001
   560        0.7563             nan     0.0100   -0.0001
   580        0.7533             nan     0.0100   -0.0000
   600        0.7504             nan     0.0100   -0.0002
   620        0.7475             nan     0.0100   -0.0002
   640        0.7443             nan     0.0100    0.0001
   660        0.7413             nan     0.0100   -0.0001
   680        0.7385             nan     0.0100   -0.0001
   700        0.7358             nan     0.0100    0.0000
   720        0.7330             nan     0.0100   -0.0001
   740        0.7301             nan     0.0100   -0.0001
   760        0.7273             nan     0.0100   -0.0001
   780        0.7251             nan     0.0100   -0.0001
   800        0.7225             nan     0.0100   -0.0001
   820        0.7204             nan     0.0100    0.0000
   840        0.7182             nan     0.0100   -0.0001
   860        0.7160             nan     0.0100   -0.0001
   880        0.7140             nan     0.0100   -0.0001
   900        0.7121             nan     0.0100   -0.0001
   920        0.7100             nan     0.0100   -0.0000
   940        0.7078             nan     0.0100   -0.0001
   960        0.7061             nan     0.0100   -0.0001
   980        0.7041             nan     0.0100   -0.0001
  1000        0.7022             nan     0.0100    0.0000
  1020        0.7003             nan     0.0100   -0.0000
  1040        0.6985             nan     0.0100   -0.0000
  1060        0.6967             nan     0.0100   -0.0001
  1080        0.6949             nan     0.0100   -0.0000
  1100        0.6929             nan     0.0100   -0.0001

- Fold09.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3231             nan     0.0100    0.0040
     2        1.3153             nan     0.0100    0.0039
     3        1.3070             nan     0.0100    0.0040
     4        1.2991             nan     0.0100    0.0038
     5        1.2915             nan     0.0100    0.0035
     6        1.2836             nan     0.0100    0.0035
     7        1.2756             nan     0.0100    0.0034
     8        1.2686             nan     0.0100    0.0036
     9        1.2618             nan     0.0100    0.0031
    10        1.2547             nan     0.0100    0.0032
    20        1.1930             nan     0.0100    0.0028
    40        1.0951             nan     0.0100    0.0019
    60        1.0258             nan     0.0100    0.0014
    80        0.9739             nan     0.0100    0.0011
   100        0.9330             nan     0.0100    0.0007
   120        0.9017             nan     0.0100    0.0006
   140        0.8781             nan     0.0100    0.0003
   160        0.8591             nan     0.0100    0.0002
   180        0.8436             nan     0.0100    0.0002
   200        0.8296             nan     0.0100    0.0001
   220        0.8173             nan     0.0100    0.0001
   240        0.8069             nan     0.0100    0.0001
   260        0.7968             nan     0.0100    0.0001
   280        0.7883             nan     0.0100    0.0001
   300        0.7811             nan     0.0100    0.0000
   320        0.7740             nan     0.0100   -0.0000
   340        0.7665             nan     0.0100    0.0000
   360        0.7598             nan     0.0100   -0.0000
   380        0.7543             nan     0.0100    0.0000
   400        0.7484             nan     0.0100   -0.0000
   420        0.7433             nan     0.0100    0.0000
   440        0.7385             nan     0.0100   -0.0000
   460        0.7335             nan     0.0100   -0.0001
   480        0.7289             nan     0.0100   -0.0001
   500        0.7244             nan     0.0100   -0.0000
   520        0.7200             nan     0.0100   -0.0000
   540        0.7160             nan     0.0100   -0.0001
   560        0.7115             nan     0.0100   -0.0002
   580        0.7080             nan     0.0100   -0.0001
   600        0.7039             nan     0.0100   -0.0001
   620        0.7001             nan     0.0100   -0.0001
   640        0.6959             nan     0.0100   -0.0001
   660        0.6921             nan     0.0100   -0.0002
   680        0.6887             nan     0.0100   -0.0001
   700        0.6856             nan     0.0100   -0.0002
   720        0.6816             nan     0.0100   -0.0002
   740        0.6784             nan     0.0100   -0.0001
   760        0.6754             nan     0.0100   -0.0001
   780        0.6723             nan     0.0100   -0.0001
   800        0.6684             nan     0.0100   -0.0001
   820        0.6653             nan     0.0100   -0.0001
   840        0.6621             nan     0.0100   -0.0002
   860        0.6594             nan     0.0100   -0.0003
   880        0.6568             nan     0.0100   -0.0001
   900        0.6538             nan     0.0100   -0.0001
   920        0.6509             nan     0.0100    0.0000
   940        0.6483             nan     0.0100   -0.0001
   960        0.6457             nan     0.0100   -0.0001
   980        0.6430             nan     0.0100   -0.0001
  1000        0.6405             nan     0.0100   -0.0001
  1020        0.6382             nan     0.0100   -0.0002
  1040        0.6362             nan     0.0100   -0.0001
  1060        0.6332             nan     0.0100   -0.0001
  1080        0.6312             nan     0.0100   -0.0001
  1100        0.6285             nan     0.0100   -0.0001

- Fold09.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2696             nan     0.1000    0.0285
     2        1.2226             nan     0.1000    0.0218
     3        1.1837             nan     0.1000    0.0181
     4        1.1503             nan     0.1000    0.0153
     5        1.1228             nan     0.1000    0.0119
     6        1.1015             nan     0.1000    0.0096
     7        1.0840             nan     0.1000    0.0069
     8        1.0656             nan     0.1000    0.0082
     9        1.0511             nan     0.1000    0.0069
    10        1.0367             nan     0.1000    0.0063
    20        0.9457             nan     0.1000    0.0019
    40        0.8640             nan     0.1000    0.0010
    60        0.8296             nan     0.1000   -0.0000
    80        0.8039             nan     0.1000    0.0001
   100        0.7882             nan     0.1000   -0.0001
   120        0.7758             nan     0.1000   -0.0006
   140        0.7664             nan     0.1000   -0.0009
   160        0.7602             nan     0.1000   -0.0006
   180        0.7519             nan     0.1000   -0.0014
   200        0.7436             nan     0.1000   -0.0003
   220        0.7385             nan     0.1000   -0.0002
   240        0.7333             nan     0.1000   -0.0004
   260        0.7286             nan     0.1000   -0.0012
   280        0.7237             nan     0.1000   -0.0014
   300        0.7191             nan     0.1000   -0.0006
   320        0.7150             nan     0.1000   -0.0004
   340        0.7112             nan     0.1000   -0.0007
   360        0.7082             nan     0.1000   -0.0010
   380        0.7046             nan     0.1000   -0.0010
   400        0.7007             nan     0.1000   -0.0002
   420        0.6978             nan     0.1000   -0.0010
   440        0.6957             nan     0.1000   -0.0006
   460        0.6925             nan     0.1000   -0.0003
   480        0.6910             nan     0.1000   -0.0005
   500        0.6887             nan     0.1000   -0.0004
   520        0.6870             nan     0.1000   -0.0008
   540        0.6846             nan     0.1000   -0.0006
   560        0.6823             nan     0.1000   -0.0006
   580        0.6803             nan     0.1000   -0.0005
   600        0.6792             nan     0.1000   -0.0009
   620        0.6778             nan     0.1000   -0.0003
   640        0.6769             nan     0.1000   -0.0008
   660        0.6744             nan     0.1000   -0.0005
   680        0.6714             nan     0.1000   -0.0003
   700        0.6686             nan     0.1000   -0.0008
   720        0.6670             nan     0.1000   -0.0006
   740        0.6671             nan     0.1000   -0.0003
   760        0.6648             nan     0.1000   -0.0006
   780        0.6637             nan     0.1000   -0.0009
   800        0.6622             nan     0.1000   -0.0005
   820        0.6597             nan     0.1000   -0.0005
   840        0.6586             nan     0.1000   -0.0008
   860        0.6575             nan     0.1000   -0.0004
   880        0.6555             nan     0.1000   -0.0011
   900        0.6540             nan     0.1000   -0.0014
   920        0.6529             nan     0.1000   -0.0009
   940        0.6512             nan     0.1000   -0.0007
   960        0.6490             nan     0.1000   -0.0007
   980        0.6480             nan     0.1000   -0.0007
  1000        0.6462             nan     0.1000   -0.0013
  1020        0.6448             nan     0.1000   -0.0008
  1040        0.6427             nan     0.1000   -0.0012
  1060        0.6424             nan     0.1000   -0.0009
  1080        0.6416             nan     0.1000   -0.0009
  1100        0.6402             nan     0.1000   -0.0006

- Fold09.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2580             nan     0.1000    0.0372
     2        1.1998             nan     0.1000    0.0264
     3        1.1530             nan     0.1000    0.0232
     4        1.1130             nan     0.1000    0.0208
     5        1.0736             nan     0.1000    0.0178
     6        1.0433             nan     0.1000    0.0147
     7        1.0167             nan     0.1000    0.0100
     8        0.9983             nan     0.1000    0.0084
     9        0.9785             nan     0.1000    0.0091
    10        0.9645             nan     0.1000    0.0061
    20        0.8637             nan     0.1000    0.0023
    40        0.7858             nan     0.1000    0.0001
    60        0.7531             nan     0.1000   -0.0007
    80        0.7224             nan     0.1000   -0.0002
   100        0.6995             nan     0.1000   -0.0013
   120        0.6830             nan     0.1000   -0.0009
   140        0.6653             nan     0.1000   -0.0005
   160        0.6458             nan     0.1000   -0.0005
   180        0.6282             nan     0.1000   -0.0009
   200        0.6161             nan     0.1000   -0.0009
   220        0.6064             nan     0.1000   -0.0006
   240        0.5973             nan     0.1000   -0.0007
   260        0.5863             nan     0.1000   -0.0009
   280        0.5786             nan     0.1000   -0.0015
   300        0.5717             nan     0.1000   -0.0004
   320        0.5627             nan     0.1000   -0.0026
   340        0.5568             nan     0.1000   -0.0014
   360        0.5503             nan     0.1000   -0.0008
   380        0.5437             nan     0.1000   -0.0012
   400        0.5366             nan     0.1000   -0.0013
   420        0.5313             nan     0.1000   -0.0014
   440        0.5267             nan     0.1000   -0.0009
   460        0.5207             nan     0.1000   -0.0007
   480        0.5128             nan     0.1000   -0.0008
   500        0.5054             nan     0.1000   -0.0003
   520        0.5011             nan     0.1000   -0.0006
   540        0.4957             nan     0.1000   -0.0009
   560        0.4909             nan     0.1000   -0.0016
   580        0.4865             nan     0.1000   -0.0008
   600        0.4812             nan     0.1000   -0.0009
   620        0.4746             nan     0.1000   -0.0008
   640        0.4719             nan     0.1000   -0.0008
   660        0.4682             nan     0.1000   -0.0013
   680        0.4647             nan     0.1000   -0.0007
   700        0.4595             nan     0.1000   -0.0011
   720        0.4556             nan     0.1000   -0.0010
   740        0.4517             nan     0.1000   -0.0009
   760        0.4485             nan     0.1000   -0.0013
   780        0.4451             nan     0.1000   -0.0007
   800        0.4418             nan     0.1000   -0.0004
   820        0.4373             nan     0.1000   -0.0005
   840        0.4333             nan     0.1000   -0.0011
   860        0.4299             nan     0.1000   -0.0015
   880        0.4249             nan     0.1000   -0.0002
   900        0.4211             nan     0.1000   -0.0013
   920        0.4181             nan     0.1000   -0.0004
   940        0.4143             nan     0.1000   -0.0011
   960        0.4117             nan     0.1000   -0.0013
   980        0.4082             nan     0.1000   -0.0013
  1000        0.4042             nan     0.1000   -0.0006
  1020        0.3998             nan     0.1000   -0.0013
  1040        0.3970             nan     0.1000   -0.0008
  1060        0.3932             nan     0.1000   -0.0012
  1080        0.3905             nan     0.1000   -0.0012
  1100        0.3886             nan     0.1000   -0.0007

- Fold09.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2566             nan     0.1000    0.0366
     2        1.1935             nan     0.1000    0.0312
     3        1.1366             nan     0.1000    0.0255
     4        1.0906             nan     0.1000    0.0207
     5        1.0526             nan     0.1000    0.0177
     6        1.0216             nan     0.1000    0.0160
     7        0.9932             nan     0.1000    0.0114
     8        0.9667             nan     0.1000    0.0118
     9        0.9425             nan     0.1000    0.0113
    10        0.9236             nan     0.1000    0.0094
    20        0.8311             nan     0.1000    0.0013
    40        0.7459             nan     0.1000    0.0005
    60        0.6984             nan     0.1000   -0.0004
    80        0.6648             nan     0.1000   -0.0015
   100        0.6423             nan     0.1000   -0.0012
   120        0.6157             nan     0.1000   -0.0018
   140        0.5907             nan     0.1000   -0.0009
   160        0.5685             nan     0.1000   -0.0005
   180        0.5518             nan     0.1000   -0.0010
   200        0.5393             nan     0.1000   -0.0010
   220        0.5291             nan     0.1000   -0.0012
   240        0.5173             nan     0.1000   -0.0012
   260        0.5050             nan     0.1000   -0.0012
   280        0.4945             nan     0.1000   -0.0014
   300        0.4837             nan     0.1000   -0.0008
   320        0.4719             nan     0.1000   -0.0015
   340        0.4621             nan     0.1000   -0.0016
   360        0.4508             nan     0.1000   -0.0013
   380        0.4388             nan     0.1000   -0.0007
   400        0.4299             nan     0.1000   -0.0012
   420        0.4222             nan     0.1000   -0.0016
   440        0.4138             nan     0.1000   -0.0011
   460        0.4083             nan     0.1000   -0.0007
   480        0.3995             nan     0.1000   -0.0004
   500        0.3926             nan     0.1000   -0.0013
   520        0.3847             nan     0.1000   -0.0009
   540        0.3785             nan     0.1000   -0.0016
   560        0.3728             nan     0.1000   -0.0004
   580        0.3674             nan     0.1000   -0.0025
   600        0.3634             nan     0.1000   -0.0010
   620        0.3559             nan     0.1000   -0.0006
   640        0.3506             nan     0.1000   -0.0006
   660        0.3456             nan     0.1000   -0.0010
   680        0.3409             nan     0.1000   -0.0013
   700        0.3349             nan     0.1000   -0.0009
   720        0.3289             nan     0.1000   -0.0011
   740        0.3249             nan     0.1000   -0.0014
   760        0.3190             nan     0.1000   -0.0010
   780        0.3151             nan     0.1000   -0.0012
   800        0.3101             nan     0.1000   -0.0008
   820        0.3044             nan     0.1000   -0.0009
   840        0.2993             nan     0.1000   -0.0006
   860        0.2934             nan     0.1000   -0.0006
   880        0.2887             nan     0.1000   -0.0005
   900        0.2843             nan     0.1000   -0.0012
   920        0.2805             nan     0.1000   -0.0010
   940        0.2757             nan     0.1000   -0.0010
   960        0.2723             nan     0.1000   -0.0004
   980        0.2689             nan     0.1000   -0.0010
  1000        0.2662             nan     0.1000   -0.0013
  1020        0.2645             nan     0.1000   -0.0014
  1040        0.2615             nan     0.1000   -0.0009
  1060        0.2581             nan     0.1000   -0.0010
  1080        0.2559             nan     0.1000   -0.0004
  1100        0.2547             nan     0.1000   -0.0010

- Fold09.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3254             nan     0.0100    0.0031
     2        1.3190             nan     0.0100    0.0030
     3        1.3130             nan     0.0100    0.0032
     4        1.3071             nan     0.0100    0.0030
     5        1.3016             nan     0.0100    0.0028
     6        1.2954             nan     0.0100    0.0029
     7        1.2895             nan     0.0100    0.0027
     8        1.2838             nan     0.0100    0.0027
     9        1.2781             nan     0.0100    0.0026
    10        1.2730             nan     0.0100    0.0026
    20        1.2264             nan     0.0100    0.0021
    40        1.1554             nan     0.0100    0.0015
    60        1.1042             nan     0.0100    0.0011
    80        1.0670             nan     0.0100    0.0007
   100        1.0364             nan     0.0100    0.0006
   120        1.0118             nan     0.0100    0.0005
   140        0.9913             nan     0.0100    0.0003
   160        0.9740             nan     0.0100    0.0003
   180        0.9591             nan     0.0100    0.0003
   200        0.9463             nan     0.0100    0.0002
   220        0.9349             nan     0.0100    0.0002
   240        0.9250             nan     0.0100    0.0001
   260        0.9153             nan     0.0100    0.0001
   280        0.9071             nan     0.0100    0.0001
   300        0.8995             nan     0.0100    0.0001
   320        0.8926             nan     0.0100    0.0001
   340        0.8865             nan     0.0100    0.0001
   360        0.8804             nan     0.0100    0.0000
   380        0.8750             nan     0.0100    0.0000
   400        0.8705             nan     0.0100    0.0001
   420        0.8658             nan     0.0100    0.0000
   440        0.8613             nan     0.0100    0.0001
   460        0.8572             nan     0.0100    0.0000
   480        0.8535             nan     0.0100   -0.0001
   500        0.8496             nan     0.0100   -0.0000
   520        0.8460             nan     0.0100   -0.0000
   540        0.8425             nan     0.0100    0.0000
   560        0.8395             nan     0.0100   -0.0000
   580        0.8364             nan     0.0100    0.0000
   600        0.8334             nan     0.0100    0.0000
   620        0.8306             nan     0.0100   -0.0000
   640        0.8283             nan     0.0100    0.0000
   660        0.8256             nan     0.0100    0.0000
   680        0.8231             nan     0.0100   -0.0001
   700        0.8207             nan     0.0100    0.0000
   720        0.8184             nan     0.0100   -0.0000
   740        0.8161             nan     0.0100   -0.0001
   760        0.8139             nan     0.0100   -0.0000
   780        0.8117             nan     0.0100    0.0000
   800        0.8095             nan     0.0100   -0.0001
   820        0.8076             nan     0.0100   -0.0000
   840        0.8056             nan     0.0100   -0.0000
   860        0.8040             nan     0.0100   -0.0000
   880        0.8023             nan     0.0100   -0.0000
   900        0.8006             nan     0.0100   -0.0000
   920        0.7988             nan     0.0100   -0.0001
   940        0.7970             nan     0.0100   -0.0000
   960        0.7955             nan     0.0100   -0.0001
   980        0.7940             nan     0.0100   -0.0000
  1000        0.7924             nan     0.0100   -0.0000
  1020        0.7909             nan     0.0100   -0.0000
  1040        0.7894             nan     0.0100   -0.0001
  1060        0.7881             nan     0.0100   -0.0001
  1080        0.7867             nan     0.0100   -0.0000
  1100        0.7855             nan     0.0100   -0.0000

- Fold10.Rep1: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3244             nan     0.0100    0.0038
     2        1.3169             nan     0.0100    0.0037
     3        1.3092             nan     0.0100    0.0036
     4        1.3023             nan     0.0100    0.0033
     5        1.2955             nan     0.0100    0.0034
     6        1.2885             nan     0.0100    0.0034
     7        1.2817             nan     0.0100    0.0036
     8        1.2752             nan     0.0100    0.0032
     9        1.2683             nan     0.0100    0.0030
    10        1.2621             nan     0.0100    0.0032
    20        1.2041             nan     0.0100    0.0025
    40        1.1145             nan     0.0100    0.0017
    60        1.0504             nan     0.0100    0.0011
    80        1.0007             nan     0.0100    0.0010
   100        0.9622             nan     0.0100    0.0007
   120        0.9326             nan     0.0100    0.0003
   140        0.9097             nan     0.0100    0.0003
   160        0.8916             nan     0.0100    0.0002
   180        0.8774             nan     0.0100    0.0000
   200        0.8649             nan     0.0100    0.0000
   220        0.8538             nan     0.0100    0.0001
   240        0.8438             nan     0.0100    0.0001
   260        0.8347             nan     0.0100    0.0001
   280        0.8269             nan     0.0100    0.0000
   300        0.8190             nan     0.0100   -0.0000
   320        0.8126             nan     0.0100    0.0000
   340        0.8064             nan     0.0100   -0.0000
   360        0.8005             nan     0.0100    0.0001
   380        0.7960             nan     0.0100    0.0000
   400        0.7914             nan     0.0100   -0.0000
   420        0.7872             nan     0.0100   -0.0000
   440        0.7829             nan     0.0100   -0.0001
   460        0.7788             nan     0.0100    0.0000
   480        0.7745             nan     0.0100    0.0000
   500        0.7705             nan     0.0100   -0.0000
   520        0.7661             nan     0.0100    0.0000
   540        0.7624             nan     0.0100   -0.0001
   560        0.7590             nan     0.0100   -0.0001
   580        0.7557             nan     0.0100    0.0000
   600        0.7528             nan     0.0100   -0.0000
   620        0.7497             nan     0.0100   -0.0001
   640        0.7470             nan     0.0100   -0.0001
   660        0.7441             nan     0.0100   -0.0001
   680        0.7413             nan     0.0100   -0.0000
   700        0.7386             nan     0.0100   -0.0001
   720        0.7363             nan     0.0100   -0.0001
   740        0.7334             nan     0.0100   -0.0000
   760        0.7305             nan     0.0100   -0.0002
   780        0.7278             nan     0.0100   -0.0000
   800        0.7253             nan     0.0100   -0.0000
   820        0.7230             nan     0.0100   -0.0001
   840        0.7207             nan     0.0100   -0.0001
   860        0.7184             nan     0.0100   -0.0000
   880        0.7163             nan     0.0100   -0.0002
   900        0.7141             nan     0.0100   -0.0001
   920        0.7117             nan     0.0100   -0.0001
   940        0.7095             nan     0.0100   -0.0001
   960        0.7078             nan     0.0100   -0.0002
   980        0.7055             nan     0.0100   -0.0001
  1000        0.7038             nan     0.0100   -0.0001
  1020        0.7020             nan     0.0100   -0.0000
  1040        0.7002             nan     0.0100   -0.0001
  1060        0.6982             nan     0.0100   -0.0000
  1080        0.6965             nan     0.0100    0.0000
  1100        0.6943             nan     0.0100   -0.0001

- Fold10.Rep1: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3233             nan     0.0100    0.0041
     2        1.3148             nan     0.0100    0.0038
     3        1.3070             nan     0.0100    0.0036
     4        1.2989             nan     0.0100    0.0037
     5        1.2912             nan     0.0100    0.0040
     6        1.2835             nan     0.0100    0.0038
     7        1.2760             nan     0.0100    0.0035
     8        1.2685             nan     0.0100    0.0035
     9        1.2615             nan     0.0100    0.0034
    10        1.2547             nan     0.0100    0.0032
    20        1.1915             nan     0.0100    0.0030
    40        1.0950             nan     0.0100    0.0019
    60        1.0242             nan     0.0100    0.0015
    80        0.9720             nan     0.0100    0.0011
   100        0.9323             nan     0.0100    0.0009
   120        0.9025             nan     0.0100    0.0006
   140        0.8777             nan     0.0100    0.0004
   160        0.8586             nan     0.0100    0.0001
   180        0.8423             nan     0.0100    0.0003
   200        0.8277             nan     0.0100    0.0001
   220        0.8164             nan     0.0100    0.0002
   240        0.8066             nan     0.0100    0.0001
   260        0.7970             nan     0.0100    0.0001
   280        0.7881             nan     0.0100    0.0001
   300        0.7802             nan     0.0100    0.0000
   320        0.7730             nan     0.0100    0.0000
   340        0.7657             nan     0.0100   -0.0000
   360        0.7594             nan     0.0100   -0.0000
   380        0.7538             nan     0.0100    0.0001
   400        0.7487             nan     0.0100   -0.0001
   420        0.7437             nan     0.0100   -0.0001
   440        0.7390             nan     0.0100   -0.0000
   460        0.7341             nan     0.0100   -0.0001
   480        0.7291             nan     0.0100   -0.0001
   500        0.7247             nan     0.0100   -0.0001
   520        0.7205             nan     0.0100   -0.0001
   540        0.7170             nan     0.0100   -0.0001
   560        0.7135             nan     0.0100   -0.0002
   580        0.7097             nan     0.0100   -0.0001
   600        0.7062             nan     0.0100   -0.0001
   620        0.7025             nan     0.0100   -0.0001
   640        0.6989             nan     0.0100   -0.0001
   660        0.6962             nan     0.0100   -0.0001
   680        0.6930             nan     0.0100   -0.0001
   700        0.6895             nan     0.0100   -0.0002
   720        0.6864             nan     0.0100   -0.0000
   740        0.6831             nan     0.0100   -0.0002
   760        0.6800             nan     0.0100   -0.0001
   780        0.6775             nan     0.0100   -0.0000
   800        0.6746             nan     0.0100   -0.0001
   820        0.6714             nan     0.0100   -0.0001
   840        0.6686             nan     0.0100   -0.0001
   860        0.6659             nan     0.0100   -0.0001
   880        0.6629             nan     0.0100   -0.0002
   900        0.6600             nan     0.0100   -0.0001
   920        0.6575             nan     0.0100   -0.0000
   940        0.6545             nan     0.0100   -0.0001
   960        0.6516             nan     0.0100   -0.0001
   980        0.6491             nan     0.0100   -0.0001
  1000        0.6471             nan     0.0100   -0.0001
  1020        0.6445             nan     0.0100   -0.0001
  1040        0.6421             nan     0.0100   -0.0002
  1060        0.6395             nan     0.0100   -0.0001
  1080        0.6374             nan     0.0100   -0.0001
  1100        0.6349             nan     0.0100   -0.0001

- Fold10.Rep1: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2763             nan     0.1000    0.0297
     2        1.2289             nan     0.1000    0.0251
     3        1.1877             nan     0.1000    0.0203
     4        1.1511             nan     0.1000    0.0163
     5        1.1208             nan     0.1000    0.0133
     6        1.0997             nan     0.1000    0.0111
     7        1.0819             nan     0.1000    0.0066
     8        1.0674             nan     0.1000    0.0065
     9        1.0477             nan     0.1000    0.0085
    10        1.0331             nan     0.1000    0.0072
    20        0.9397             nan     0.1000    0.0020
    40        0.8674             nan     0.1000    0.0010
    60        0.8317             nan     0.1000   -0.0004
    80        0.8113             nan     0.1000   -0.0002
   100        0.7934             nan     0.1000    0.0001
   120        0.7784             nan     0.1000   -0.0007
   140        0.7657             nan     0.1000   -0.0007
   160        0.7575             nan     0.1000   -0.0007
   180        0.7510             nan     0.1000   -0.0010
   200        0.7434             nan     0.1000   -0.0000
   220        0.7377             nan     0.1000   -0.0005
   240        0.7335             nan     0.1000   -0.0009
   260        0.7293             nan     0.1000   -0.0011
   280        0.7251             nan     0.1000   -0.0008
   300        0.7207             nan     0.1000   -0.0017
   320        0.7165             nan     0.1000   -0.0004
   340        0.7112             nan     0.1000   -0.0006
   360        0.7084             nan     0.1000   -0.0007
   380        0.7049             nan     0.1000   -0.0006
   400        0.7020             nan     0.1000   -0.0006
   420        0.6986             nan     0.1000   -0.0007
   440        0.6962             nan     0.1000   -0.0007
   460        0.6927             nan     0.1000   -0.0009
   480        0.6917             nan     0.1000   -0.0010
   500        0.6891             nan     0.1000   -0.0009
   520        0.6860             nan     0.1000   -0.0003
   540        0.6830             nan     0.1000   -0.0007
   560        0.6804             nan     0.1000   -0.0014
   580        0.6783             nan     0.1000   -0.0009
   600        0.6750             nan     0.1000   -0.0011
   620        0.6740             nan     0.1000   -0.0003
   640        0.6712             nan     0.1000   -0.0013
   660        0.6696             nan     0.1000   -0.0004
   680        0.6688             nan     0.1000   -0.0013
   700        0.6679             nan     0.1000   -0.0008
   720        0.6643             nan     0.1000   -0.0005
   740        0.6620             nan     0.1000   -0.0006
   760        0.6602             nan     0.1000   -0.0013
   780        0.6588             nan     0.1000   -0.0002
   800        0.6571             nan     0.1000   -0.0018
   820        0.6559             nan     0.1000   -0.0007
   840        0.6537             nan     0.1000   -0.0005
   860        0.6516             nan     0.1000   -0.0005
   880        0.6494             nan     0.1000   -0.0004
   900        0.6483             nan     0.1000   -0.0007
   920        0.6478             nan     0.1000   -0.0012
   940        0.6454             nan     0.1000   -0.0005
   960        0.6437             nan     0.1000   -0.0011
   980        0.6415             nan     0.1000   -0.0009
  1000        0.6395             nan     0.1000   -0.0005
  1020        0.6371             nan     0.1000   -0.0005
  1040        0.6358             nan     0.1000   -0.0004
  1060        0.6348             nan     0.1000   -0.0004
  1080        0.6336             nan     0.1000   -0.0013
  1100        0.6316             nan     0.1000   -0.0014

- Fold10.Rep1: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2651             nan     0.1000    0.0386
     2        1.2053             nan     0.1000    0.0307
     3        1.1551             nan     0.1000    0.0250
     4        1.1105             nan     0.1000    0.0197
     5        1.0745             nan     0.1000    0.0173
     6        1.0458             nan     0.1000    0.0130
     7        1.0203             nan     0.1000    0.0114
     8        0.9973             nan     0.1000    0.0116
     9        0.9773             nan     0.1000    0.0080
    10        0.9620             nan     0.1000    0.0072
    20        0.8625             nan     0.1000    0.0006
    40        0.7907             nan     0.1000    0.0000
    60        0.7547             nan     0.1000   -0.0006
    80        0.7289             nan     0.1000   -0.0004
   100        0.7114             nan     0.1000   -0.0012
   120        0.6932             nan     0.1000   -0.0016
   140        0.6778             nan     0.1000   -0.0015
   160        0.6623             nan     0.1000   -0.0008
   180        0.6486             nan     0.1000   -0.0010
   200        0.6358             nan     0.1000   -0.0008
   220        0.6222             nan     0.1000   -0.0015
   240        0.6104             nan     0.1000   -0.0006
   260        0.6020             nan     0.1000   -0.0004
   280        0.5917             nan     0.1000   -0.0017
   300        0.5818             nan     0.1000   -0.0005
   320        0.5713             nan     0.1000   -0.0008
   340        0.5634             nan     0.1000   -0.0008
   360        0.5560             nan     0.1000   -0.0002
   380        0.5518             nan     0.1000   -0.0007
   400        0.5447             nan     0.1000   -0.0013
   420        0.5389             nan     0.1000   -0.0002
   440        0.5307             nan     0.1000   -0.0009
   460        0.5239             nan     0.1000   -0.0009
   480        0.5169             nan     0.1000   -0.0011
   500        0.5118             nan     0.1000   -0.0012
   520        0.5066             nan     0.1000   -0.0010
   540        0.5010             nan     0.1000   -0.0009
   560        0.4947             nan     0.1000   -0.0010
   580        0.4887             nan     0.1000   -0.0009
   600        0.4825             nan     0.1000   -0.0007
   620        0.4784             nan     0.1000   -0.0008
   640        0.4732             nan     0.1000   -0.0013
   660        0.4690             nan     0.1000   -0.0009
   680        0.4636             nan     0.1000   -0.0009
   700        0.4584             nan     0.1000   -0.0005
   720        0.4540             nan     0.1000   -0.0007
   740        0.4509             nan     0.1000   -0.0004
   760        0.4471             nan     0.1000   -0.0010
   780        0.4445             nan     0.1000   -0.0015
   800        0.4401             nan     0.1000   -0.0007
   820        0.4371             nan     0.1000   -0.0007
   840        0.4329             nan     0.1000   -0.0008
   860        0.4300             nan     0.1000   -0.0017
   880        0.4267             nan     0.1000   -0.0005
   900        0.4234             nan     0.1000   -0.0012
   920        0.4191             nan     0.1000   -0.0007
   940        0.4158             nan     0.1000   -0.0010
   960        0.4131             nan     0.1000   -0.0008
   980        0.4102             nan     0.1000   -0.0008
  1000        0.4070             nan     0.1000   -0.0007
  1020        0.4021             nan     0.1000   -0.0005
  1040        0.3984             nan     0.1000   -0.0006
  1060        0.3939             nan     0.1000   -0.0007
  1080        0.3907             nan     0.1000   -0.0012
  1100        0.3883             nan     0.1000   -0.0009

- Fold10.Rep1: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2520             nan     0.1000    0.0367
     2        1.1895             nan     0.1000    0.0327
     3        1.1401             nan     0.1000    0.0237
     4        1.0953             nan     0.1000    0.0204
     5        1.0566             nan     0.1000    0.0179
     6        1.0246             nan     0.1000    0.0159
     7        0.9913             nan     0.1000    0.0150
     8        0.9663             nan     0.1000    0.0127
     9        0.9454             nan     0.1000    0.0093
    10        0.9269             nan     0.1000    0.0068
    20        0.8270             nan     0.1000    0.0015
    40        0.7490             nan     0.1000   -0.0000
    60        0.7047             nan     0.1000   -0.0010
    80        0.6669             nan     0.1000   -0.0004
   100        0.6418             nan     0.1000   -0.0012
   120        0.6233             nan     0.1000   -0.0017
   140        0.6026             nan     0.1000   -0.0020
   160        0.5836             nan     0.1000   -0.0010
   180        0.5664             nan     0.1000   -0.0010
   200        0.5501             nan     0.1000   -0.0012
   220        0.5382             nan     0.1000   -0.0011
   240        0.5249             nan     0.1000   -0.0012
   260        0.5119             nan     0.1000   -0.0018
   280        0.5040             nan     0.1000   -0.0008
   300        0.4903             nan     0.1000   -0.0008
   320        0.4811             nan     0.1000   -0.0005
   340        0.4721             nan     0.1000   -0.0013
   360        0.4628             nan     0.1000   -0.0013
   380        0.4528             nan     0.1000   -0.0006
   400        0.4443             nan     0.1000   -0.0014
   420        0.4392             nan     0.1000   -0.0006
   440        0.4315             nan     0.1000   -0.0020
   460        0.4244             nan     0.1000   -0.0011
   480        0.4166             nan     0.1000   -0.0012
   500        0.4104             nan     0.1000   -0.0007
   520        0.4055             nan     0.1000   -0.0012
   540        0.3994             nan     0.1000   -0.0005
   560        0.3944             nan     0.1000   -0.0015
   580        0.3863             nan     0.1000   -0.0006
   600        0.3798             nan     0.1000   -0.0006
   620        0.3717             nan     0.1000   -0.0017
   640        0.3641             nan     0.1000   -0.0007
   660        0.3577             nan     0.1000   -0.0006
   680        0.3511             nan     0.1000   -0.0010
   700        0.3474             nan     0.1000   -0.0005
   720        0.3419             nan     0.1000   -0.0006
   740        0.3368             nan     0.1000   -0.0005
   760        0.3325             nan     0.1000   -0.0005
   780        0.3278             nan     0.1000   -0.0008
   800        0.3220             nan     0.1000   -0.0005
   820        0.3167             nan     0.1000   -0.0009
   840        0.3123             nan     0.1000   -0.0013
   860        0.3076             nan     0.1000   -0.0009
   880        0.3046             nan     0.1000   -0.0007
   900        0.3009             nan     0.1000   -0.0010
   920        0.2972             nan     0.1000   -0.0009
   940        0.2942             nan     0.1000   -0.0010
   960        0.2888             nan     0.1000   -0.0008
   980        0.2858             nan     0.1000   -0.0013
  1000        0.2833             nan     0.1000   -0.0003
  1020        0.2799             nan     0.1000   -0.0010
  1040        0.2747             nan     0.1000   -0.0003
  1060        0.2710             nan     0.1000   -0.0005
  1080        0.2675             nan     0.1000   -0.0006
  1100        0.2640             nan     0.1000   -0.0008

- Fold10.Rep1: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3258             nan     0.0100    0.0029
     2        1.3203             nan     0.0100    0.0029
     3        1.3142             nan     0.0100    0.0029
     4        1.3081             nan     0.0100    0.0028
     5        1.3022             nan     0.0100    0.0027
     6        1.2966             nan     0.0100    0.0026
     7        1.2912             nan     0.0100    0.0026
     8        1.2858             nan     0.0100    0.0026
     9        1.2808             nan     0.0100    0.0026
    10        1.2756             nan     0.0100    0.0025
    20        1.2293             nan     0.0100    0.0020
    40        1.1601             nan     0.0100    0.0014
    60        1.1106             nan     0.0100    0.0010
    80        1.0728             nan     0.0100    0.0008
   100        1.0425             nan     0.0100    0.0007
   120        1.0183             nan     0.0100    0.0003
   140        0.9969             nan     0.0100    0.0004
   160        0.9786             nan     0.0100    0.0004
   180        0.9629             nan     0.0100    0.0002
   200        0.9496             nan     0.0100    0.0002
   220        0.9376             nan     0.0100    0.0002
   240        0.9270             nan     0.0100    0.0002
   260        0.9172             nan     0.0100    0.0001
   280        0.9093             nan     0.0100    0.0001
   300        0.9011             nan     0.0100    0.0001
   320        0.8940             nan     0.0100    0.0001
   340        0.8866             nan     0.0100    0.0001
   360        0.8806             nan     0.0100    0.0002
   380        0.8748             nan     0.0100    0.0001
   400        0.8694             nan     0.0100    0.0001
   420        0.8643             nan     0.0100   -0.0001
   440        0.8592             nan     0.0100    0.0000
   460        0.8550             nan     0.0100    0.0001
   480        0.8506             nan     0.0100    0.0001
   500        0.8468             nan     0.0100    0.0001
   520        0.8431             nan     0.0100    0.0000
   540        0.8393             nan     0.0100    0.0000
   560        0.8357             nan     0.0100    0.0000
   580        0.8322             nan     0.0100    0.0000
   600        0.8290             nan     0.0100    0.0000
   620        0.8257             nan     0.0100    0.0000
   640        0.8227             nan     0.0100    0.0000
   660        0.8202             nan     0.0100   -0.0001
   680        0.8176             nan     0.0100   -0.0000
   700        0.8149             nan     0.0100   -0.0001
   720        0.8123             nan     0.0100   -0.0000
   740        0.8099             nan     0.0100   -0.0000
   760        0.8078             nan     0.0100   -0.0000
   780        0.8058             nan     0.0100   -0.0000
   800        0.8034             nan     0.0100   -0.0001
   820        0.8012             nan     0.0100    0.0000
   840        0.7990             nan     0.0100   -0.0000
   860        0.7969             nan     0.0100   -0.0000
   880        0.7950             nan     0.0100   -0.0000
   900        0.7932             nan     0.0100   -0.0001
   920        0.7913             nan     0.0100   -0.0000
   940        0.7896             nan     0.0100   -0.0000
   960        0.7878             nan     0.0100   -0.0000
   980        0.7863             nan     0.0100   -0.0001
  1000        0.7846             nan     0.0100   -0.0000
  1020        0.7830             nan     0.0100   -0.0000
  1040        0.7815             nan     0.0100   -0.0000
  1060        0.7800             nan     0.0100   -0.0001
  1080        0.7784             nan     0.0100   -0.0000
  1100        0.7768             nan     0.0100   -0.0001

- Fold01.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3244             nan     0.0100    0.0036
     2        1.3163             nan     0.0100    0.0036
     3        1.3092             nan     0.0100    0.0035
     4        1.3018             nan     0.0100    0.0037
     5        1.2949             nan     0.0100    0.0035
     6        1.2878             nan     0.0100    0.0035
     7        1.2814             nan     0.0100    0.0035
     8        1.2752             nan     0.0100    0.0029
     9        1.2684             nan     0.0100    0.0033
    10        1.2619             nan     0.0100    0.0031
    20        1.2040             nan     0.0100    0.0026
    40        1.1149             nan     0.0100    0.0019
    60        1.0496             nan     0.0100    0.0013
    80        1.0006             nan     0.0100    0.0010
   100        0.9630             nan     0.0100    0.0008
   120        0.9330             nan     0.0100    0.0006
   140        0.9091             nan     0.0100    0.0004
   160        0.8907             nan     0.0100    0.0002
   180        0.8736             nan     0.0100    0.0002
   200        0.8593             nan     0.0100    0.0002
   220        0.8475             nan     0.0100    0.0001
   240        0.8371             nan     0.0100    0.0002
   260        0.8284             nan     0.0100    0.0000
   280        0.8203             nan     0.0100    0.0000
   300        0.8124             nan     0.0100    0.0001
   320        0.8051             nan     0.0100    0.0001
   340        0.7986             nan     0.0100    0.0000
   360        0.7921             nan     0.0100    0.0000
   380        0.7859             nan     0.0100    0.0002
   400        0.7805             nan     0.0100    0.0000
   420        0.7757             nan     0.0100   -0.0001
   440        0.7709             nan     0.0100    0.0000
   460        0.7663             nan     0.0100    0.0001
   480        0.7622             nan     0.0100   -0.0001
   500        0.7582             nan     0.0100   -0.0001
   520        0.7548             nan     0.0100    0.0001
   540        0.7511             nan     0.0100   -0.0000
   560        0.7480             nan     0.0100   -0.0000
   580        0.7450             nan     0.0100   -0.0000
   600        0.7418             nan     0.0100   -0.0000
   620        0.7385             nan     0.0100   -0.0000
   640        0.7354             nan     0.0100    0.0000
   660        0.7323             nan     0.0100   -0.0001
   680        0.7299             nan     0.0100   -0.0001
   700        0.7270             nan     0.0100   -0.0000
   720        0.7243             nan     0.0100   -0.0000
   740        0.7218             nan     0.0100   -0.0001
   760        0.7193             nan     0.0100    0.0000
   780        0.7169             nan     0.0100   -0.0001
   800        0.7146             nan     0.0100   -0.0000
   820        0.7122             nan     0.0100   -0.0000
   840        0.7100             nan     0.0100   -0.0001
   860        0.7077             nan     0.0100   -0.0001
   880        0.7054             nan     0.0100   -0.0001
   900        0.7033             nan     0.0100   -0.0002
   920        0.7011             nan     0.0100   -0.0001
   940        0.6989             nan     0.0100   -0.0001
   960        0.6968             nan     0.0100    0.0000
   980        0.6947             nan     0.0100   -0.0001
  1000        0.6929             nan     0.0100   -0.0000
  1020        0.6913             nan     0.0100   -0.0000
  1040        0.6894             nan     0.0100   -0.0001
  1060        0.6877             nan     0.0100   -0.0001
  1080        0.6858             nan     0.0100   -0.0001
  1100        0.6843             nan     0.0100   -0.0002

- Fold01.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3238             nan     0.0100    0.0038
     2        1.3157             nan     0.0100    0.0037
     3        1.3074             nan     0.0100    0.0040
     4        1.3000             nan     0.0100    0.0036
     5        1.2925             nan     0.0100    0.0039
     6        1.2848             nan     0.0100    0.0035
     7        1.2773             nan     0.0100    0.0037
     8        1.2702             nan     0.0100    0.0035
     9        1.2625             nan     0.0100    0.0035
    10        1.2554             nan     0.0100    0.0035
    20        1.1921             nan     0.0100    0.0028
    40        1.0919             nan     0.0100    0.0021
    60        1.0202             nan     0.0100    0.0015
    80        0.9677             nan     0.0100    0.0007
   100        0.9265             nan     0.0100    0.0009
   120        0.8957             nan     0.0100    0.0006
   140        0.8707             nan     0.0100    0.0005
   160        0.8501             nan     0.0100    0.0005
   180        0.8343             nan     0.0100    0.0002
   200        0.8206             nan     0.0100    0.0003
   220        0.8080             nan     0.0100    0.0001
   240        0.7977             nan     0.0100    0.0001
   260        0.7867             nan     0.0100    0.0001
   280        0.7767             nan     0.0100    0.0000
   300        0.7685             nan     0.0100    0.0001
   320        0.7610             nan     0.0100    0.0001
   340        0.7537             nan     0.0100    0.0000
   360        0.7476             nan     0.0100   -0.0002
   380        0.7415             nan     0.0100   -0.0001
   400        0.7360             nan     0.0100   -0.0000
   420        0.7299             nan     0.0100   -0.0001
   440        0.7244             nan     0.0100   -0.0001
   460        0.7196             nan     0.0100    0.0000
   480        0.7153             nan     0.0100   -0.0002
   500        0.7107             nan     0.0100   -0.0000
   520        0.7062             nan     0.0100   -0.0000
   540        0.7019             nan     0.0100   -0.0001
   560        0.6982             nan     0.0100   -0.0000
   580        0.6948             nan     0.0100   -0.0001
   600        0.6911             nan     0.0100   -0.0003
   620        0.6875             nan     0.0100    0.0000
   640        0.6839             nan     0.0100   -0.0000
   660        0.6805             nan     0.0100   -0.0000
   680        0.6776             nan     0.0100   -0.0000
   700        0.6746             nan     0.0100   -0.0001
   720        0.6714             nan     0.0100   -0.0001
   740        0.6685             nan     0.0100   -0.0000
   760        0.6652             nan     0.0100   -0.0002
   780        0.6616             nan     0.0100   -0.0000
   800        0.6591             nan     0.0100   -0.0000
   820        0.6564             nan     0.0100   -0.0000
   840        0.6536             nan     0.0100   -0.0001
   860        0.6507             nan     0.0100   -0.0001
   880        0.6480             nan     0.0100   -0.0002
   900        0.6455             nan     0.0100    0.0000
   920        0.6428             nan     0.0100    0.0000
   940        0.6398             nan     0.0100   -0.0001
   960        0.6372             nan     0.0100   -0.0001
   980        0.6345             nan     0.0100   -0.0001
  1000        0.6316             nan     0.0100   -0.0001
  1020        0.6289             nan     0.0100   -0.0001
  1040        0.6261             nan     0.0100   -0.0001
  1060        0.6239             nan     0.0100   -0.0002
  1080        0.6214             nan     0.0100   -0.0001
  1100        0.6190             nan     0.0100   -0.0001

- Fold01.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2709             nan     0.1000    0.0277
     2        1.2237             nan     0.1000    0.0234
     3        1.1882             nan     0.1000    0.0191
     4        1.1583             nan     0.1000    0.0161
     5        1.1354             nan     0.1000    0.0129
     6        1.1094             nan     0.1000    0.0112
     7        1.0900             nan     0.1000    0.0087
     8        1.0754             nan     0.1000    0.0066
     9        1.0557             nan     0.1000    0.0085
    10        1.0410             nan     0.1000    0.0071
    20        0.9473             nan     0.1000    0.0028
    40        0.8703             nan     0.1000    0.0004
    60        0.8289             nan     0.1000   -0.0004
    80        0.8040             nan     0.1000    0.0001
   100        0.7845             nan     0.1000   -0.0015
   120        0.7711             nan     0.1000   -0.0002
   140        0.7585             nan     0.1000   -0.0000
   160        0.7511             nan     0.1000   -0.0004
   180        0.7432             nan     0.1000   -0.0008
   200        0.7367             nan     0.1000   -0.0005
   220        0.7307             nan     0.1000   -0.0012
   240        0.7263             nan     0.1000   -0.0010
   260        0.7213             nan     0.1000   -0.0013
   280        0.7166             nan     0.1000   -0.0005
   300        0.7131             nan     0.1000   -0.0009
   320        0.7087             nan     0.1000   -0.0012
   340        0.7046             nan     0.1000   -0.0010
   360        0.6994             nan     0.1000   -0.0004
   380        0.6965             nan     0.1000   -0.0004
   400        0.6926             nan     0.1000   -0.0011
   420        0.6890             nan     0.1000   -0.0007
   440        0.6867             nan     0.1000   -0.0009
   460        0.6843             nan     0.1000   -0.0017
   480        0.6808             nan     0.1000   -0.0004
   500        0.6792             nan     0.1000   -0.0006
   520        0.6763             nan     0.1000   -0.0007
   540        0.6742             nan     0.1000   -0.0009
   560        0.6726             nan     0.1000   -0.0005
   580        0.6701             nan     0.1000   -0.0005
   600        0.6687             nan     0.1000   -0.0012
   620        0.6665             nan     0.1000   -0.0010
   640        0.6646             nan     0.1000   -0.0005
   660        0.6617             nan     0.1000   -0.0010
   680        0.6596             nan     0.1000   -0.0004
   700        0.6580             nan     0.1000   -0.0003
   720        0.6575             nan     0.1000   -0.0007
   740        0.6563             nan     0.1000   -0.0011
   760        0.6539             nan     0.1000   -0.0015
   780        0.6522             nan     0.1000   -0.0008
   800        0.6513             nan     0.1000   -0.0006
   820        0.6477             nan     0.1000   -0.0007
   840        0.6459             nan     0.1000   -0.0001
   860        0.6442             nan     0.1000   -0.0008
   880        0.6427             nan     0.1000   -0.0007
   900        0.6425             nan     0.1000   -0.0008
   920        0.6414             nan     0.1000   -0.0009
   940        0.6405             nan     0.1000   -0.0007
   960        0.6382             nan     0.1000   -0.0002
   980        0.6369             nan     0.1000   -0.0013
  1000        0.6349             nan     0.1000   -0.0014
  1020        0.6321             nan     0.1000   -0.0008
  1040        0.6302             nan     0.1000   -0.0007
  1060        0.6289             nan     0.1000   -0.0002
  1080        0.6269             nan     0.1000   -0.0008
  1100        0.6252             nan     0.1000   -0.0012

- Fold01.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2591             nan     0.1000    0.0361
     2        1.1981             nan     0.1000    0.0280
     3        1.1441             nan     0.1000    0.0240
     4        1.1081             nan     0.1000    0.0209
     5        1.0707             nan     0.1000    0.0167
     6        1.0402             nan     0.1000    0.0136
     7        1.0143             nan     0.1000    0.0119
     8        0.9922             nan     0.1000    0.0105
     9        0.9712             nan     0.1000    0.0099
    10        0.9543             nan     0.1000    0.0086
    20        0.8567             nan     0.1000    0.0013
    40        0.7774             nan     0.1000    0.0017
    60        0.7406             nan     0.1000    0.0002
    80        0.7116             nan     0.1000   -0.0013
   100        0.6897             nan     0.1000   -0.0009
   120        0.6723             nan     0.1000   -0.0006
   140        0.6566             nan     0.1000   -0.0024
   160        0.6414             nan     0.1000   -0.0009
   180        0.6306             nan     0.1000   -0.0014
   200        0.6199             nan     0.1000   -0.0006
   220        0.6091             nan     0.1000   -0.0009
   240        0.6017             nan     0.1000   -0.0011
   260        0.5936             nan     0.1000   -0.0008
   280        0.5829             nan     0.1000   -0.0012
   300        0.5732             nan     0.1000   -0.0015
   320        0.5634             nan     0.1000   -0.0006
   340        0.5584             nan     0.1000   -0.0008
   360        0.5518             nan     0.1000   -0.0007
   380        0.5446             nan     0.1000   -0.0014
   400        0.5374             nan     0.1000   -0.0006
   420        0.5318             nan     0.1000   -0.0010
   440        0.5270             nan     0.1000   -0.0012
   460        0.5194             nan     0.1000   -0.0007
   480        0.5136             nan     0.1000   -0.0010
   500        0.5056             nan     0.1000   -0.0008
   520        0.4978             nan     0.1000   -0.0010
   540        0.4929             nan     0.1000   -0.0010
   560        0.4854             nan     0.1000   -0.0010
   580        0.4795             nan     0.1000   -0.0009
   600        0.4751             nan     0.1000   -0.0009
   620        0.4709             nan     0.1000   -0.0003
   640        0.4658             nan     0.1000   -0.0014
   660        0.4616             nan     0.1000   -0.0010
   680        0.4583             nan     0.1000   -0.0017
   700        0.4536             nan     0.1000   -0.0010
   720        0.4491             nan     0.1000   -0.0004
   740        0.4445             nan     0.1000   -0.0009
   760        0.4395             nan     0.1000   -0.0008
   780        0.4351             nan     0.1000   -0.0015
   800        0.4304             nan     0.1000   -0.0006
   820        0.4267             nan     0.1000   -0.0008
   840        0.4241             nan     0.1000   -0.0009
   860        0.4206             nan     0.1000   -0.0012
   880        0.4166             nan     0.1000   -0.0013
   900        0.4128             nan     0.1000   -0.0012
   920        0.4087             nan     0.1000   -0.0009
   940        0.4059             nan     0.1000   -0.0010
   960        0.4023             nan     0.1000   -0.0009
   980        0.4011             nan     0.1000   -0.0004
  1000        0.3980             nan     0.1000   -0.0008
  1020        0.3935             nan     0.1000   -0.0010
  1040        0.3910             nan     0.1000   -0.0009
  1060        0.3879             nan     0.1000   -0.0008
  1080        0.3845             nan     0.1000   -0.0006
  1100        0.3799             nan     0.1000   -0.0009

- Fold01.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2556             nan     0.1000    0.0393
     2        1.1935             nan     0.1000    0.0310
     3        1.1336             nan     0.1000    0.0268
     4        1.0860             nan     0.1000    0.0203
     5        1.0488             nan     0.1000    0.0171
     6        1.0163             nan     0.1000    0.0165
     7        0.9888             nan     0.1000    0.0097
     8        0.9635             nan     0.1000    0.0117
     9        0.9404             nan     0.1000    0.0088
    10        0.9221             nan     0.1000    0.0073
    20        0.8160             nan     0.1000    0.0001
    40        0.7383             nan     0.1000   -0.0003
    60        0.6944             nan     0.1000   -0.0006
    80        0.6635             nan     0.1000   -0.0006
   100        0.6380             nan     0.1000   -0.0005
   120        0.6130             nan     0.1000   -0.0007
   140        0.5914             nan     0.1000   -0.0024
   160        0.5763             nan     0.1000   -0.0014
   180        0.5585             nan     0.1000   -0.0012
   200        0.5426             nan     0.1000   -0.0015
   220        0.5280             nan     0.1000   -0.0019
   240        0.5133             nan     0.1000   -0.0011
   260        0.5034             nan     0.1000   -0.0008
   280        0.4911             nan     0.1000   -0.0012
   300        0.4789             nan     0.1000   -0.0009
   320        0.4682             nan     0.1000   -0.0012
   340        0.4604             nan     0.1000   -0.0009
   360        0.4485             nan     0.1000   -0.0013
   380        0.4383             nan     0.1000   -0.0011
   400        0.4317             nan     0.1000   -0.0009
   420        0.4216             nan     0.1000   -0.0018
   440        0.4131             nan     0.1000   -0.0006
   460        0.4055             nan     0.1000   -0.0013
   480        0.3978             nan     0.1000   -0.0011
   500        0.3916             nan     0.1000   -0.0011
   520        0.3845             nan     0.1000   -0.0009
   540        0.3795             nan     0.1000   -0.0015
   560        0.3718             nan     0.1000   -0.0007
   580        0.3653             nan     0.1000   -0.0017
   600        0.3599             nan     0.1000   -0.0010
   620        0.3534             nan     0.1000   -0.0008
   640        0.3474             nan     0.1000   -0.0003
   660        0.3427             nan     0.1000   -0.0011
   680        0.3370             nan     0.1000   -0.0006
   700        0.3325             nan     0.1000   -0.0010
   720        0.3285             nan     0.1000   -0.0004
   740        0.3228             nan     0.1000   -0.0003
   760        0.3176             nan     0.1000   -0.0004
   780        0.3147             nan     0.1000   -0.0011
   800        0.3110             nan     0.1000   -0.0022
   820        0.3063             nan     0.1000   -0.0007
   840        0.3018             nan     0.1000   -0.0009
   860        0.2977             nan     0.1000   -0.0006
   880        0.2946             nan     0.1000   -0.0013
   900        0.2908             nan     0.1000   -0.0010
   920        0.2864             nan     0.1000   -0.0011
   940        0.2827             nan     0.1000   -0.0004
   960        0.2798             nan     0.1000   -0.0007
   980        0.2752             nan     0.1000   -0.0010
  1000        0.2717             nan     0.1000   -0.0013
  1020        0.2689             nan     0.1000   -0.0012
  1040        0.2646             nan     0.1000   -0.0019
  1060        0.2610             nan     0.1000   -0.0005
  1080        0.2578             nan     0.1000   -0.0005
  1100        0.2549             nan     0.1000   -0.0008

- Fold01.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3258             nan     0.0100    0.0031
     2        1.3199             nan     0.0100    0.0031
     3        1.3138             nan     0.0100    0.0030
     4        1.3082             nan     0.0100    0.0029
     5        1.3033             nan     0.0100    0.0028
     6        1.2972             nan     0.0100    0.0027
     7        1.2916             nan     0.0100    0.0028
     8        1.2857             nan     0.0100    0.0026
     9        1.2808             nan     0.0100    0.0026
    10        1.2753             nan     0.0100    0.0025
    20        1.2281             nan     0.0100    0.0021
    40        1.1544             nan     0.0100    0.0015
    60        1.1038             nan     0.0100    0.0010
    80        1.0664             nan     0.0100    0.0006
   100        1.0353             nan     0.0100    0.0006
   120        1.0100             nan     0.0100    0.0005
   140        0.9895             nan     0.0100    0.0004
   160        0.9716             nan     0.0100    0.0002
   180        0.9561             nan     0.0100    0.0003
   200        0.9432             nan     0.0100    0.0002
   220        0.9318             nan     0.0100    0.0002
   240        0.9215             nan     0.0100    0.0001
   260        0.9124             nan     0.0100    0.0000
   280        0.9043             nan     0.0100    0.0001
   300        0.8964             nan     0.0100    0.0001
   320        0.8899             nan     0.0100    0.0001
   340        0.8836             nan     0.0100    0.0001
   360        0.8776             nan     0.0100   -0.0000
   380        0.8722             nan     0.0100    0.0000
   400        0.8670             nan     0.0100    0.0000
   420        0.8619             nan     0.0100    0.0000
   440        0.8571             nan     0.0100    0.0000
   460        0.8530             nan     0.0100    0.0001
   480        0.8489             nan     0.0100   -0.0000
   500        0.8452             nan     0.0100    0.0001
   520        0.8416             nan     0.0100   -0.0001
   540        0.8379             nan     0.0100   -0.0000
   560        0.8343             nan     0.0100    0.0000
   580        0.8312             nan     0.0100    0.0000
   600        0.8284             nan     0.0100   -0.0001
   620        0.8259             nan     0.0100   -0.0000
   640        0.8231             nan     0.0100   -0.0001
   660        0.8204             nan     0.0100   -0.0000
   680        0.8182             nan     0.0100   -0.0000
   700        0.8156             nan     0.0100    0.0000
   720        0.8131             nan     0.0100   -0.0001
   740        0.8111             nan     0.0100   -0.0000
   760        0.8090             nan     0.0100   -0.0000
   780        0.8069             nan     0.0100   -0.0000
   800        0.8049             nan     0.0100   -0.0000
   820        0.8029             nan     0.0100   -0.0000
   840        0.8010             nan     0.0100   -0.0001
   860        0.7991             nan     0.0100   -0.0000
   880        0.7973             nan     0.0100   -0.0000
   900        0.7957             nan     0.0100   -0.0000
   920        0.7942             nan     0.0100   -0.0001
   940        0.7925             nan     0.0100   -0.0001
   960        0.7910             nan     0.0100   -0.0001
   980        0.7895             nan     0.0100   -0.0001
  1000        0.7881             nan     0.0100   -0.0001
  1020        0.7865             nan     0.0100   -0.0000
  1040        0.7851             nan     0.0100   -0.0001
  1060        0.7839             nan     0.0100   -0.0000
  1080        0.7824             nan     0.0100   -0.0000
  1100        0.7808             nan     0.0100   -0.0000

- Fold02.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3249             nan     0.0100    0.0037
     2        1.3171             nan     0.0100    0.0033
     3        1.3098             nan     0.0100    0.0035
     4        1.3027             nan     0.0100    0.0036
     5        1.2954             nan     0.0100    0.0035
     6        1.2888             nan     0.0100    0.0031
     7        1.2823             nan     0.0100    0.0030
     8        1.2754             nan     0.0100    0.0031
     9        1.2686             nan     0.0100    0.0031
    10        1.2623             nan     0.0100    0.0031
    20        1.2041             nan     0.0100    0.0024
    40        1.1145             nan     0.0100    0.0019
    60        1.0508             nan     0.0100    0.0013
    80        1.0027             nan     0.0100    0.0010
   100        0.9656             nan     0.0100    0.0007
   120        0.9367             nan     0.0100    0.0006
   140        0.9124             nan     0.0100    0.0003
   160        0.8932             nan     0.0100    0.0003
   180        0.8781             nan     0.0100    0.0003
   200        0.8648             nan     0.0100    0.0002
   220        0.8533             nan     0.0100    0.0001
   240        0.8431             nan     0.0100    0.0002
   260        0.8338             nan     0.0100   -0.0001
   280        0.8261             nan     0.0100    0.0001
   300        0.8192             nan     0.0100    0.0000
   320        0.8116             nan     0.0100    0.0001
   340        0.8049             nan     0.0100   -0.0000
   360        0.7990             nan     0.0100    0.0001
   380        0.7937             nan     0.0100   -0.0000
   400        0.7881             nan     0.0100   -0.0001
   420        0.7827             nan     0.0100   -0.0001
   440        0.7785             nan     0.0100   -0.0001
   460        0.7735             nan     0.0100   -0.0000
   480        0.7701             nan     0.0100   -0.0001
   500        0.7658             nan     0.0100    0.0000
   520        0.7622             nan     0.0100   -0.0001
   540        0.7585             nan     0.0100   -0.0001
   560        0.7553             nan     0.0100   -0.0001
   580        0.7517             nan     0.0100    0.0000
   600        0.7488             nan     0.0100   -0.0000
   620        0.7456             nan     0.0100   -0.0000
   640        0.7428             nan     0.0100   -0.0001
   660        0.7401             nan     0.0100   -0.0000
   680        0.7373             nan     0.0100   -0.0001
   700        0.7345             nan     0.0100   -0.0001
   720        0.7318             nan     0.0100   -0.0001
   740        0.7294             nan     0.0100   -0.0000
   760        0.7267             nan     0.0100   -0.0001
   780        0.7245             nan     0.0100   -0.0001
   800        0.7221             nan     0.0100   -0.0001
   820        0.7198             nan     0.0100   -0.0000
   840        0.7174             nan     0.0100    0.0000
   860        0.7150             nan     0.0100   -0.0001
   880        0.7130             nan     0.0100   -0.0001
   900        0.7108             nan     0.0100   -0.0000
   920        0.7086             nan     0.0100    0.0000
   940        0.7060             nan     0.0100   -0.0001
   960        0.7041             nan     0.0100   -0.0002
   980        0.7021             nan     0.0100   -0.0001
  1000        0.7001             nan     0.0100   -0.0001
  1020        0.6982             nan     0.0100   -0.0001
  1040        0.6963             nan     0.0100   -0.0001
  1060        0.6944             nan     0.0100   -0.0002
  1080        0.6921             nan     0.0100   -0.0001
  1100        0.6898             nan     0.0100   -0.0001

- Fold02.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3234             nan     0.0100    0.0040
     2        1.3153             nan     0.0100    0.0037
     3        1.3076             nan     0.0100    0.0034
     4        1.2997             nan     0.0100    0.0040
     5        1.2919             nan     0.0100    0.0034
     6        1.2841             nan     0.0100    0.0037
     7        1.2767             nan     0.0100    0.0037
     8        1.2693             nan     0.0100    0.0036
     9        1.2624             nan     0.0100    0.0034
    10        1.2558             nan     0.0100    0.0034
    20        1.1922             nan     0.0100    0.0029
    40        1.0955             nan     0.0100    0.0017
    60        1.0240             nan     0.0100    0.0015
    80        0.9713             nan     0.0100    0.0009
   100        0.9309             nan     0.0100    0.0008
   120        0.8998             nan     0.0100    0.0006
   140        0.8752             nan     0.0100    0.0004
   160        0.8556             nan     0.0100    0.0002
   180        0.8390             nan     0.0100    0.0003
   200        0.8250             nan     0.0100    0.0001
   220        0.8124             nan     0.0100    0.0001
   240        0.8013             nan     0.0100    0.0001
   260        0.7924             nan     0.0100    0.0000
   280        0.7839             nan     0.0100    0.0001
   300        0.7759             nan     0.0100    0.0001
   320        0.7689             nan     0.0100    0.0001
   340        0.7622             nan     0.0100   -0.0000
   360        0.7561             nan     0.0100   -0.0001
   380        0.7502             nan     0.0100   -0.0000
   400        0.7449             nan     0.0100   -0.0001
   420        0.7398             nan     0.0100   -0.0002
   440        0.7348             nan     0.0100   -0.0000
   460        0.7297             nan     0.0100   -0.0000
   480        0.7247             nan     0.0100   -0.0001
   500        0.7207             nan     0.0100   -0.0001
   520        0.7169             nan     0.0100   -0.0001
   540        0.7128             nan     0.0100   -0.0002
   560        0.7089             nan     0.0100   -0.0001
   580        0.7055             nan     0.0100   -0.0002
   600        0.7016             nan     0.0100   -0.0000
   620        0.6978             nan     0.0100   -0.0001
   640        0.6942             nan     0.0100   -0.0000
   660        0.6906             nan     0.0100   -0.0001
   680        0.6869             nan     0.0100    0.0000
   700        0.6836             nan     0.0100   -0.0000
   720        0.6805             nan     0.0100   -0.0002
   740        0.6770             nan     0.0100   -0.0001
   760        0.6740             nan     0.0100   -0.0001
   780        0.6707             nan     0.0100   -0.0000
   800        0.6680             nan     0.0100   -0.0001
   820        0.6652             nan     0.0100   -0.0002
   840        0.6628             nan     0.0100   -0.0002
   860        0.6599             nan     0.0100   -0.0000
   880        0.6571             nan     0.0100   -0.0001
   900        0.6542             nan     0.0100   -0.0001
   920        0.6513             nan     0.0100   -0.0000
   940        0.6485             nan     0.0100   -0.0001
   960        0.6457             nan     0.0100   -0.0000
   980        0.6429             nan     0.0100   -0.0002
  1000        0.6403             nan     0.0100   -0.0000
  1020        0.6381             nan     0.0100   -0.0000
  1040        0.6357             nan     0.0100   -0.0001
  1060        0.6328             nan     0.0100   -0.0000
  1080        0.6305             nan     0.0100   -0.0001
  1100        0.6279             nan     0.0100   -0.0001

- Fold02.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2715             nan     0.1000    0.0293
     2        1.2178             nan     0.1000    0.0240
     3        1.1785             nan     0.1000    0.0200
     4        1.1445             nan     0.1000    0.0163
     5        1.1184             nan     0.1000    0.0127
     6        1.1047             nan     0.1000    0.0047
     7        1.0831             nan     0.1000    0.0106
     8        1.0610             nan     0.1000    0.0076
     9        1.0440             nan     0.1000    0.0061
    10        1.0309             nan     0.1000    0.0067
    20        0.9405             nan     0.1000    0.0011
    40        0.8671             nan     0.1000    0.0010
    60        0.8271             nan     0.1000   -0.0011
    80        0.8054             nan     0.1000    0.0002
   100        0.7902             nan     0.1000   -0.0001
   120        0.7767             nan     0.1000   -0.0002
   140        0.7662             nan     0.1000   -0.0007
   160        0.7589             nan     0.1000   -0.0011
   180        0.7519             nan     0.1000   -0.0005
   200        0.7458             nan     0.1000   -0.0009
   220        0.7402             nan     0.1000   -0.0010
   240        0.7339             nan     0.1000   -0.0006
   260        0.7270             nan     0.1000   -0.0008
   280        0.7226             nan     0.1000   -0.0001
   300        0.7181             nan     0.1000   -0.0005
   320        0.7140             nan     0.1000   -0.0016
   340        0.7101             nan     0.1000   -0.0008
   360        0.7068             nan     0.1000   -0.0003
   380        0.7039             nan     0.1000   -0.0005
   400        0.7002             nan     0.1000   -0.0009
   420        0.6970             nan     0.1000   -0.0006
   440        0.6945             nan     0.1000   -0.0005
   460        0.6917             nan     0.1000   -0.0009
   480        0.6876             nan     0.1000   -0.0008
   500        0.6862             nan     0.1000   -0.0005
   520        0.6827             nan     0.1000   -0.0003
   540        0.6810             nan     0.1000   -0.0013
   560        0.6788             nan     0.1000   -0.0004
   580        0.6764             nan     0.1000   -0.0009
   600        0.6744             nan     0.1000   -0.0009
   620        0.6732             nan     0.1000   -0.0011
   640        0.6706             nan     0.1000   -0.0005
   660        0.6684             nan     0.1000   -0.0009
   680        0.6670             nan     0.1000   -0.0008
   700        0.6660             nan     0.1000   -0.0008
   720        0.6644             nan     0.1000   -0.0002
   740        0.6618             nan     0.1000   -0.0005
   760        0.6602             nan     0.1000   -0.0006
   780        0.6586             nan     0.1000   -0.0007
   800        0.6578             nan     0.1000   -0.0005
   820        0.6555             nan     0.1000   -0.0012
   840        0.6538             nan     0.1000   -0.0007
   860        0.6508             nan     0.1000   -0.0008
   880        0.6496             nan     0.1000   -0.0008
   900        0.6479             nan     0.1000   -0.0008
   920        0.6472             nan     0.1000   -0.0009
   940        0.6457             nan     0.1000   -0.0009
   960        0.6445             nan     0.1000   -0.0006
   980        0.6430             nan     0.1000   -0.0008
  1000        0.6418             nan     0.1000   -0.0007
  1020        0.6413             nan     0.1000   -0.0013
  1040        0.6397             nan     0.1000   -0.0003
  1060        0.6378             nan     0.1000   -0.0010
  1080        0.6363             nan     0.1000   -0.0006
  1100        0.6356             nan     0.1000   -0.0004

- Fold02.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2580             nan     0.1000    0.0343
     2        1.1981             nan     0.1000    0.0271
     3        1.1509             nan     0.1000    0.0258
     4        1.1104             nan     0.1000    0.0198
     5        1.0732             nan     0.1000    0.0182
     6        1.0435             nan     0.1000    0.0147
     7        1.0181             nan     0.1000    0.0128
     8        0.9926             nan     0.1000    0.0112
     9        0.9730             nan     0.1000    0.0087
    10        0.9527             nan     0.1000    0.0078
    20        0.8601             nan     0.1000    0.0026
    40        0.7887             nan     0.1000   -0.0005
    60        0.7449             nan     0.1000   -0.0003
    80        0.7176             nan     0.1000   -0.0008
   100        0.6946             nan     0.1000   -0.0015
   120        0.6755             nan     0.1000   -0.0003
   140        0.6575             nan     0.1000   -0.0010
   160        0.6436             nan     0.1000   -0.0007
   180        0.6295             nan     0.1000   -0.0007
   200        0.6169             nan     0.1000   -0.0007
   220        0.6056             nan     0.1000   -0.0004
   240        0.5978             nan     0.1000   -0.0015
   260        0.5914             nan     0.1000   -0.0007
   280        0.5813             nan     0.1000   -0.0001
   300        0.5738             nan     0.1000   -0.0014
   320        0.5665             nan     0.1000   -0.0004
   340        0.5611             nan     0.1000   -0.0010
   360        0.5533             nan     0.1000   -0.0006
   380        0.5472             nan     0.1000   -0.0009
   400        0.5405             nan     0.1000   -0.0011
   420        0.5344             nan     0.1000   -0.0007
   440        0.5283             nan     0.1000   -0.0015
   460        0.5229             nan     0.1000   -0.0002
   480        0.5170             nan     0.1000   -0.0009
   500        0.5103             nan     0.1000   -0.0009
   520        0.5031             nan     0.1000   -0.0009
   540        0.4990             nan     0.1000   -0.0009
   560        0.4945             nan     0.1000   -0.0008
   580        0.4898             nan     0.1000   -0.0007
   600        0.4855             nan     0.1000   -0.0010
   620        0.4804             nan     0.1000   -0.0009
   640        0.4762             nan     0.1000   -0.0007
   660        0.4711             nan     0.1000   -0.0011
   680        0.4656             nan     0.1000   -0.0003
   700        0.4593             nan     0.1000   -0.0008
   720        0.4554             nan     0.1000   -0.0009
   740        0.4510             nan     0.1000   -0.0005
   760        0.4471             nan     0.1000   -0.0007
   780        0.4433             nan     0.1000   -0.0009
   800        0.4407             nan     0.1000   -0.0007
   820        0.4374             nan     0.1000   -0.0010
   840        0.4359             nan     0.1000   -0.0006
   860        0.4333             nan     0.1000   -0.0009
   880        0.4285             nan     0.1000   -0.0008
   900        0.4248             nan     0.1000   -0.0006
   920        0.4209             nan     0.1000   -0.0011
   940        0.4167             nan     0.1000   -0.0009
   960        0.4127             nan     0.1000   -0.0008
   980        0.4100             nan     0.1000   -0.0011
  1000        0.4078             nan     0.1000   -0.0012
  1020        0.4045             nan     0.1000   -0.0006
  1040        0.3995             nan     0.1000   -0.0005
  1060        0.3968             nan     0.1000   -0.0010
  1080        0.3935             nan     0.1000   -0.0010
  1100        0.3895             nan     0.1000   -0.0008

- Fold02.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2503             nan     0.1000    0.0389
     2        1.1832             nan     0.1000    0.0313
     3        1.1333             nan     0.1000    0.0239
     4        1.0852             nan     0.1000    0.0224
     5        1.0467             nan     0.1000    0.0191
     6        1.0165             nan     0.1000    0.0144
     7        0.9906             nan     0.1000    0.0112
     8        0.9632             nan     0.1000    0.0117
     9        0.9416             nan     0.1000    0.0096
    10        0.9246             nan     0.1000    0.0062
    20        0.8234             nan     0.1000    0.0013
    40        0.7435             nan     0.1000   -0.0008
    60        0.7075             nan     0.1000   -0.0018
    80        0.6777             nan     0.1000   -0.0024
   100        0.6527             nan     0.1000   -0.0002
   120        0.6303             nan     0.1000    0.0004
   140        0.6057             nan     0.1000   -0.0009
   160        0.5844             nan     0.1000   -0.0015
   180        0.5669             nan     0.1000   -0.0009
   200        0.5527             nan     0.1000   -0.0023
   220        0.5338             nan     0.1000   -0.0019
   240        0.5256             nan     0.1000   -0.0020
   260        0.5132             nan     0.1000   -0.0005
   280        0.5002             nan     0.1000   -0.0005
   300        0.4889             nan     0.1000   -0.0012
   320        0.4800             nan     0.1000   -0.0005
   340        0.4692             nan     0.1000   -0.0008
   360        0.4589             nan     0.1000   -0.0008
   380        0.4486             nan     0.1000   -0.0001
   400        0.4375             nan     0.1000   -0.0010
   420        0.4297             nan     0.1000   -0.0009
   440        0.4199             nan     0.1000   -0.0005
   460        0.4106             nan     0.1000   -0.0014
   480        0.4028             nan     0.1000   -0.0014
   500        0.3949             nan     0.1000   -0.0010
   520        0.3872             nan     0.1000   -0.0012
   540        0.3813             nan     0.1000   -0.0005
   560        0.3755             nan     0.1000   -0.0007
   580        0.3701             nan     0.1000   -0.0013
   600        0.3638             nan     0.1000   -0.0006
   620        0.3567             nan     0.1000   -0.0008
   640        0.3512             nan     0.1000   -0.0013
   660        0.3453             nan     0.1000   -0.0007
   680        0.3414             nan     0.1000   -0.0009
   700        0.3355             nan     0.1000   -0.0009
   720        0.3311             nan     0.1000   -0.0011
   740        0.3265             nan     0.1000   -0.0005
   760        0.3222             nan     0.1000   -0.0009
   780        0.3177             nan     0.1000   -0.0007
   800        0.3126             nan     0.1000   -0.0011
   820        0.3091             nan     0.1000   -0.0009
   840        0.3034             nan     0.1000   -0.0007
   860        0.2993             nan     0.1000   -0.0010
   880        0.2951             nan     0.1000   -0.0015
   900        0.2911             nan     0.1000   -0.0009
   920        0.2876             nan     0.1000   -0.0008
   940        0.2842             nan     0.1000   -0.0008
   960        0.2806             nan     0.1000   -0.0011
   980        0.2766             nan     0.1000   -0.0005
  1000        0.2736             nan     0.1000   -0.0010
  1020        0.2702             nan     0.1000   -0.0008
  1040        0.2676             nan     0.1000   -0.0006
  1060        0.2653             nan     0.1000   -0.0014
  1080        0.2613             nan     0.1000   -0.0005
  1100        0.2577             nan     0.1000   -0.0007

- Fold02.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3263             nan     0.0100    0.0029
     2        1.3205             nan     0.0100    0.0028
     3        1.3148             nan     0.0100    0.0027
     4        1.3093             nan     0.0100    0.0026
     5        1.3041             nan     0.0100    0.0027
     6        1.2988             nan     0.0100    0.0026
     7        1.2938             nan     0.0100    0.0026
     8        1.2885             nan     0.0100    0.0025
     9        1.2839             nan     0.0100    0.0025
    10        1.2795             nan     0.0100    0.0024
    20        1.2350             nan     0.0100    0.0020
    40        1.1668             nan     0.0100    0.0013
    60        1.1214             nan     0.0100    0.0004
    80        1.0868             nan     0.0100    0.0007
   100        1.0590             nan     0.0100    0.0005
   120        1.0366             nan     0.0100    0.0004
   140        1.0173             nan     0.0100    0.0003
   160        1.0015             nan     0.0100    0.0003
   180        0.9877             nan     0.0100    0.0002
   200        0.9754             nan     0.0100    0.0003
   220        0.9644             nan     0.0100    0.0002
   240        0.9549             nan     0.0100    0.0002
   260        0.9464             nan     0.0100    0.0002
   280        0.9383             nan     0.0100    0.0001
   300        0.9311             nan     0.0100    0.0001
   320        0.9244             nan     0.0100    0.0001
   340        0.9177             nan     0.0100    0.0001
   360        0.9120             nan     0.0100    0.0000
   380        0.9066             nan     0.0100    0.0001
   400        0.9017             nan     0.0100    0.0001
   420        0.8973             nan     0.0100    0.0001
   440        0.8933             nan     0.0100    0.0001
   460        0.8891             nan     0.0100    0.0001
   480        0.8854             nan     0.0100   -0.0000
   500        0.8817             nan     0.0100    0.0000
   520        0.8782             nan     0.0100    0.0000
   540        0.8748             nan     0.0100   -0.0000
   560        0.8716             nan     0.0100   -0.0001
   580        0.8686             nan     0.0100    0.0000
   600        0.8657             nan     0.0100    0.0000
   620        0.8631             nan     0.0100   -0.0001
   640        0.8605             nan     0.0100   -0.0000
   660        0.8579             nan     0.0100    0.0000
   680        0.8556             nan     0.0100   -0.0000
   700        0.8533             nan     0.0100    0.0000
   720        0.8508             nan     0.0100   -0.0000
   740        0.8485             nan     0.0100   -0.0000
   760        0.8462             nan     0.0100   -0.0001
   780        0.8438             nan     0.0100   -0.0000
   800        0.8418             nan     0.0100    0.0000
   820        0.8398             nan     0.0100   -0.0000
   840        0.8378             nan     0.0100   -0.0000
   860        0.8361             nan     0.0100   -0.0000
   880        0.8343             nan     0.0100   -0.0000
   900        0.8328             nan     0.0100   -0.0000
   920        0.8312             nan     0.0100   -0.0001
   940        0.8294             nan     0.0100   -0.0000
   960        0.8277             nan     0.0100   -0.0003
   980        0.8262             nan     0.0100   -0.0000
  1000        0.8245             nan     0.0100   -0.0001
  1020        0.8231             nan     0.0100   -0.0001
  1040        0.8216             nan     0.0100   -0.0000
  1060        0.8203             nan     0.0100   -0.0000
  1080        0.8190             nan     0.0100   -0.0001
  1100        0.8175             nan     0.0100   -0.0000

- Fold03.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3249             nan     0.0100    0.0034
     2        1.3182             nan     0.0100    0.0034
     3        1.3109             nan     0.0100    0.0037
     4        1.3042             nan     0.0100    0.0036
     5        1.2976             nan     0.0100    0.0031
     6        1.2907             nan     0.0100    0.0031
     7        1.2839             nan     0.0100    0.0031
     8        1.2779             nan     0.0100    0.0033
     9        1.2715             nan     0.0100    0.0029
    10        1.2655             nan     0.0100    0.0030
    20        1.2114             nan     0.0100    0.0024
    40        1.1256             nan     0.0100    0.0016
    60        1.0645             nan     0.0100    0.0012
    80        1.0197             nan     0.0100    0.0009
   100        0.9856             nan     0.0100    0.0007
   120        0.9585             nan     0.0100    0.0005
   140        0.9368             nan     0.0100    0.0004
   160        0.9195             nan     0.0100    0.0002
   180        0.9048             nan     0.0100    0.0001
   200        0.8932             nan     0.0100    0.0000
   220        0.8827             nan     0.0100    0.0000
   240        0.8741             nan     0.0100   -0.0001
   260        0.8656             nan     0.0100    0.0001
   280        0.8571             nan     0.0100   -0.0000
   300        0.8498             nan     0.0100    0.0001
   320        0.8431             nan     0.0100   -0.0000
   340        0.8371             nan     0.0100    0.0001
   360        0.8311             nan     0.0100    0.0001
   380        0.8257             nan     0.0100    0.0000
   400        0.8203             nan     0.0100    0.0001
   420        0.8152             nan     0.0100   -0.0000
   440        0.8108             nan     0.0100   -0.0000
   460        0.8065             nan     0.0100    0.0000
   480        0.8018             nan     0.0100   -0.0001
   500        0.7980             nan     0.0100   -0.0001
   520        0.7943             nan     0.0100   -0.0001
   540        0.7908             nan     0.0100    0.0000
   560        0.7876             nan     0.0100   -0.0001
   580        0.7845             nan     0.0100   -0.0001
   600        0.7814             nan     0.0100   -0.0000
   620        0.7788             nan     0.0100   -0.0001
   640        0.7756             nan     0.0100   -0.0001
   660        0.7729             nan     0.0100    0.0000
   680        0.7700             nan     0.0100   -0.0001
   700        0.7675             nan     0.0100   -0.0000
   720        0.7651             nan     0.0100   -0.0000
   740        0.7622             nan     0.0100   -0.0001
   760        0.7595             nan     0.0100   -0.0001
   780        0.7570             nan     0.0100   -0.0001
   800        0.7544             nan     0.0100   -0.0001
   820        0.7520             nan     0.0100   -0.0001
   840        0.7498             nan     0.0100   -0.0000
   860        0.7471             nan     0.0100   -0.0000
   880        0.7447             nan     0.0100   -0.0001
   900        0.7426             nan     0.0100   -0.0000
   920        0.7403             nan     0.0100   -0.0001
   940        0.7379             nan     0.0100   -0.0000
   960        0.7362             nan     0.0100   -0.0001
   980        0.7345             nan     0.0100   -0.0000
  1000        0.7323             nan     0.0100   -0.0001
  1020        0.7303             nan     0.0100   -0.0001
  1040        0.7283             nan     0.0100   -0.0002
  1060        0.7261             nan     0.0100   -0.0001
  1080        0.7244             nan     0.0100   -0.0001
  1100        0.7223             nan     0.0100   -0.0001

- Fold03.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3244             nan     0.0100    0.0037
     2        1.3168             nan     0.0100    0.0035
     3        1.3095             nan     0.0100    0.0037
     4        1.3026             nan     0.0100    0.0036
     5        1.2954             nan     0.0100    0.0034
     6        1.2885             nan     0.0100    0.0034
     7        1.2813             nan     0.0100    0.0033
     8        1.2750             nan     0.0100    0.0035
     9        1.2686             nan     0.0100    0.0032
    10        1.2624             nan     0.0100    0.0028
    20        1.2031             nan     0.0100    0.0026
    40        1.1116             nan     0.0100    0.0018
    60        1.0437             nan     0.0100    0.0013
    80        0.9932             nan     0.0100    0.0008
   100        0.9550             nan     0.0100    0.0007
   120        0.9256             nan     0.0100    0.0006
   140        0.9033             nan     0.0100    0.0003
   160        0.8846             nan     0.0100    0.0002
   180        0.8687             nan     0.0100    0.0002
   200        0.8544             nan     0.0100    0.0001
   220        0.8419             nan     0.0100    0.0001
   240        0.8311             nan     0.0100   -0.0001
   260        0.8214             nan     0.0100    0.0001
   280        0.8129             nan     0.0100   -0.0000
   300        0.8056             nan     0.0100   -0.0001
   320        0.7986             nan     0.0100    0.0000
   340        0.7919             nan     0.0100   -0.0000
   360        0.7860             nan     0.0100   -0.0000
   380        0.7801             nan     0.0100    0.0001
   400        0.7739             nan     0.0100    0.0000
   420        0.7687             nan     0.0100   -0.0001
   440        0.7636             nan     0.0100    0.0001
   460        0.7588             nan     0.0100   -0.0001
   480        0.7544             nan     0.0100   -0.0000
   500        0.7502             nan     0.0100   -0.0001
   520        0.7460             nan     0.0100   -0.0000
   540        0.7423             nan     0.0100   -0.0001
   560        0.7379             nan     0.0100   -0.0001
   580        0.7342             nan     0.0100   -0.0001
   600        0.7302             nan     0.0100   -0.0001
   620        0.7262             nan     0.0100   -0.0000
   640        0.7228             nan     0.0100   -0.0000
   660        0.7188             nan     0.0100   -0.0001
   680        0.7159             nan     0.0100   -0.0001
   700        0.7121             nan     0.0100   -0.0001
   720        0.7086             nan     0.0100   -0.0001
   740        0.7056             nan     0.0100   -0.0001
   760        0.7025             nan     0.0100   -0.0000
   780        0.6998             nan     0.0100   -0.0000
   800        0.6972             nan     0.0100   -0.0001
   820        0.6941             nan     0.0100   -0.0002
   840        0.6908             nan     0.0100   -0.0001
   860        0.6878             nan     0.0100   -0.0000
   880        0.6850             nan     0.0100   -0.0002
   900        0.6829             nan     0.0100   -0.0002
   920        0.6798             nan     0.0100   -0.0001
   940        0.6771             nan     0.0100   -0.0001
   960        0.6742             nan     0.0100   -0.0001
   980        0.6716             nan     0.0100   -0.0001
  1000        0.6689             nan     0.0100   -0.0001
  1020        0.6662             nan     0.0100   -0.0001
  1040        0.6643             nan     0.0100   -0.0001
  1060        0.6615             nan     0.0100   -0.0001
  1080        0.6587             nan     0.0100   -0.0000
  1100        0.6559             nan     0.0100   -0.0001

- Fold03.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2752             nan     0.1000    0.0262
     2        1.2262             nan     0.1000    0.0198
     3        1.1894             nan     0.1000    0.0185
     4        1.1555             nan     0.1000    0.0146
     5        1.1314             nan     0.1000    0.0120
     6        1.1097             nan     0.1000    0.0098
     7        1.0927             nan     0.1000    0.0063
     8        1.0777             nan     0.1000    0.0079
     9        1.0662             nan     0.1000    0.0066
    10        1.0544             nan     0.1000    0.0052
    20        0.9740             nan     0.1000    0.0029
    40        0.9033             nan     0.1000    0.0011
    60        0.8670             nan     0.1000   -0.0002
    80        0.8429             nan     0.1000    0.0002
   100        0.8263             nan     0.1000   -0.0006
   120        0.8135             nan     0.1000   -0.0004
   140        0.8000             nan     0.1000   -0.0004
   160        0.7933             nan     0.1000   -0.0006
   180        0.7880             nan     0.1000   -0.0007
   200        0.7802             nan     0.1000   -0.0014
   220        0.7715             nan     0.1000   -0.0011
   240        0.7652             nan     0.1000   -0.0011
   260        0.7597             nan     0.1000   -0.0004
   280        0.7538             nan     0.1000   -0.0008
   300        0.7516             nan     0.1000   -0.0009
   320        0.7457             nan     0.1000   -0.0004
   340        0.7426             nan     0.1000   -0.0003
   360        0.7378             nan     0.1000   -0.0010
   380        0.7357             nan     0.1000   -0.0002
   400        0.7321             nan     0.1000   -0.0005
   420        0.7271             nan     0.1000   -0.0011
   440        0.7251             nan     0.1000   -0.0003
   460        0.7215             nan     0.1000   -0.0011
   480        0.7173             nan     0.1000   -0.0005
   500        0.7155             nan     0.1000   -0.0009
   520        0.7140             nan     0.1000   -0.0005
   540        0.7115             nan     0.1000   -0.0009
   560        0.7085             nan     0.1000   -0.0006
   580        0.7054             nan     0.1000   -0.0006
   600        0.7027             nan     0.1000   -0.0008
   620        0.7000             nan     0.1000   -0.0002
   640        0.6987             nan     0.1000   -0.0008
   660        0.6968             nan     0.1000   -0.0005
   680        0.6946             nan     0.1000   -0.0007
   700        0.6934             nan     0.1000   -0.0009
   720        0.6907             nan     0.1000   -0.0003
   740        0.6882             nan     0.1000   -0.0007
   760        0.6872             nan     0.1000   -0.0010
   780        0.6849             nan     0.1000   -0.0007
   800        0.6832             nan     0.1000   -0.0004
   820        0.6795             nan     0.1000   -0.0004
   840        0.6789             nan     0.1000   -0.0011
   860        0.6777             nan     0.1000   -0.0010
   880        0.6749             nan     0.1000   -0.0006
   900        0.6734             nan     0.1000   -0.0006
   920        0.6715             nan     0.1000   -0.0012
   940        0.6696             nan     0.1000   -0.0008
   960        0.6685             nan     0.1000   -0.0016
   980        0.6675             nan     0.1000   -0.0009
  1000        0.6652             nan     0.1000   -0.0004
  1020        0.6643             nan     0.1000   -0.0007
  1040        0.6629             nan     0.1000   -0.0008
  1060        0.6615             nan     0.1000   -0.0006
  1080        0.6592             nan     0.1000   -0.0006
  1100        0.6565             nan     0.1000   -0.0007

- Fold03.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2627             nan     0.1000    0.0318
     2        1.2040             nan     0.1000    0.0265
     3        1.1628             nan     0.1000    0.0221
     4        1.1191             nan     0.1000    0.0189
     5        1.0863             nan     0.1000    0.0162
     6        1.0588             nan     0.1000    0.0129
     7        1.0358             nan     0.1000    0.0111
     8        1.0127             nan     0.1000    0.0095
     9        0.9945             nan     0.1000    0.0082
    10        0.9786             nan     0.1000    0.0072
    20        0.8917             nan     0.1000    0.0016
    40        0.8186             nan     0.1000   -0.0004
    60        0.7822             nan     0.1000   -0.0009
    80        0.7531             nan     0.1000   -0.0008
   100        0.7279             nan     0.1000   -0.0019
   120        0.7120             nan     0.1000   -0.0005
   140        0.6959             nan     0.1000   -0.0008
   160        0.6812             nan     0.1000   -0.0011
   180        0.6683             nan     0.1000   -0.0010
   200        0.6561             nan     0.1000   -0.0009
   220        0.6408             nan     0.1000   -0.0014
   240        0.6294             nan     0.1000   -0.0008
   260        0.6200             nan     0.1000   -0.0002
   280        0.6124             nan     0.1000   -0.0002
   300        0.6024             nan     0.1000   -0.0013
   320        0.5925             nan     0.1000   -0.0007
   340        0.5820             nan     0.1000   -0.0011
   360        0.5740             nan     0.1000   -0.0009
   380        0.5648             nan     0.1000   -0.0008
   400        0.5564             nan     0.1000   -0.0008
   420        0.5484             nan     0.1000   -0.0004
   440        0.5438             nan     0.1000   -0.0011
   460        0.5380             nan     0.1000   -0.0009
   480        0.5325             nan     0.1000   -0.0010
   500        0.5261             nan     0.1000   -0.0006
   520        0.5213             nan     0.1000   -0.0018
   540        0.5164             nan     0.1000   -0.0007
   560        0.5104             nan     0.1000   -0.0006
   580        0.5058             nan     0.1000   -0.0005
   600        0.5016             nan     0.1000   -0.0012
   620        0.4959             nan     0.1000   -0.0010
   640        0.4919             nan     0.1000   -0.0010
   660        0.4875             nan     0.1000   -0.0003
   680        0.4816             nan     0.1000   -0.0014
   700        0.4780             nan     0.1000   -0.0003
   720        0.4733             nan     0.1000   -0.0006
   740        0.4696             nan     0.1000   -0.0007
   760        0.4654             nan     0.1000   -0.0009
   780        0.4603             nan     0.1000   -0.0009
   800        0.4558             nan     0.1000   -0.0005
   820        0.4510             nan     0.1000   -0.0007
   840        0.4482             nan     0.1000   -0.0003
   860        0.4440             nan     0.1000   -0.0006
   880        0.4401             nan     0.1000   -0.0006
   900        0.4355             nan     0.1000   -0.0011
   920        0.4319             nan     0.1000   -0.0009
   940        0.4283             nan     0.1000   -0.0010
   960        0.4243             nan     0.1000   -0.0011
   980        0.4208             nan     0.1000   -0.0011
  1000        0.4163             nan     0.1000   -0.0002
  1020        0.4149             nan     0.1000   -0.0014
  1040        0.4106             nan     0.1000   -0.0006
  1060        0.4083             nan     0.1000   -0.0008
  1080        0.4050             nan     0.1000   -0.0005
  1100        0.4032             nan     0.1000   -0.0015

- Fold03.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2593             nan     0.1000    0.0329
     2        1.2000             nan     0.1000    0.0308
     3        1.1549             nan     0.1000    0.0219
     4        1.1085             nan     0.1000    0.0213
     5        1.0720             nan     0.1000    0.0189
     6        1.0428             nan     0.1000    0.0126
     7        1.0128             nan     0.1000    0.0131
     8        0.9897             nan     0.1000    0.0094
     9        0.9701             nan     0.1000    0.0076
    10        0.9521             nan     0.1000    0.0076
    20        0.8558             nan     0.1000    0.0004
    40        0.7768             nan     0.1000   -0.0014
    60        0.7419             nan     0.1000   -0.0007
    80        0.7084             nan     0.1000   -0.0017
   100        0.6730             nan     0.1000   -0.0000
   120        0.6520             nan     0.1000   -0.0010
   140        0.6312             nan     0.1000   -0.0009
   160        0.6129             nan     0.1000   -0.0016
   180        0.5985             nan     0.1000   -0.0012
   200        0.5842             nan     0.1000   -0.0010
   220        0.5682             nan     0.1000   -0.0010
   240        0.5519             nan     0.1000   -0.0012
   260        0.5363             nan     0.1000   -0.0009
   280        0.5221             nan     0.1000   -0.0014
   300        0.5096             nan     0.1000   -0.0012
   320        0.4991             nan     0.1000   -0.0011
   340        0.4900             nan     0.1000   -0.0009
   360        0.4795             nan     0.1000   -0.0020
   380        0.4706             nan     0.1000   -0.0006
   400        0.4617             nan     0.1000   -0.0009
   420        0.4506             nan     0.1000   -0.0008
   440        0.4424             nan     0.1000   -0.0009
   460        0.4348             nan     0.1000   -0.0013
   480        0.4251             nan     0.1000   -0.0008
   500        0.4168             nan     0.1000   -0.0012
   520        0.4104             nan     0.1000   -0.0012
   540        0.4028             nan     0.1000   -0.0008
   560        0.3965             nan     0.1000   -0.0013
   580        0.3909             nan     0.1000   -0.0012
   600        0.3839             nan     0.1000   -0.0006
   620        0.3764             nan     0.1000   -0.0005
   640        0.3710             nan     0.1000   -0.0005
   660        0.3657             nan     0.1000   -0.0005
   680        0.3603             nan     0.1000   -0.0009
   700        0.3538             nan     0.1000   -0.0009
   720        0.3477             nan     0.1000   -0.0011
   740        0.3428             nan     0.1000   -0.0005
   760        0.3362             nan     0.1000   -0.0004
   780        0.3314             nan     0.1000   -0.0015
   800        0.3255             nan     0.1000   -0.0010
   820        0.3211             nan     0.1000   -0.0005
   840        0.3176             nan     0.1000   -0.0007
   860        0.3130             nan     0.1000   -0.0006
   880        0.3083             nan     0.1000   -0.0012
   900        0.3043             nan     0.1000   -0.0007
   920        0.3017             nan     0.1000   -0.0004
   940        0.2973             nan     0.1000   -0.0008
   960        0.2934             nan     0.1000   -0.0006
   980        0.2891             nan     0.1000   -0.0015
  1000        0.2857             nan     0.1000   -0.0015
  1020        0.2802             nan     0.1000   -0.0014
  1040        0.2764             nan     0.1000   -0.0007
  1060        0.2726             nan     0.1000   -0.0003
  1080        0.2699             nan     0.1000   -0.0005
  1100        0.2668             nan     0.1000   -0.0008

- Fold03.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3251             nan     0.0100    0.0031
     2        1.3193             nan     0.0100    0.0029
     3        1.3128             nan     0.0100    0.0029
     4        1.3069             nan     0.0100    0.0030
     5        1.3009             nan     0.0100    0.0028
     6        1.2952             nan     0.0100    0.0027
     7        1.2896             nan     0.0100    0.0026
     8        1.2842             nan     0.0100    0.0027
     9        1.2792             nan     0.0100    0.0026
    10        1.2740             nan     0.0100    0.0025
    20        1.2270             nan     0.0100    0.0021
    40        1.1558             nan     0.0100    0.0015
    60        1.1062             nan     0.0100    0.0011
    80        1.0664             nan     0.0100    0.0008
   100        1.0357             nan     0.0100    0.0006
   120        1.0100             nan     0.0100    0.0005
   140        0.9882             nan     0.0100    0.0004
   160        0.9699             nan     0.0100    0.0004
   180        0.9537             nan     0.0100    0.0003
   200        0.9397             nan     0.0100    0.0003
   220        0.9264             nan     0.0100    0.0002
   240        0.9146             nan     0.0100    0.0002
   260        0.9036             nan     0.0100    0.0002
   280        0.8949             nan     0.0100    0.0001
   300        0.8864             nan     0.0100    0.0002
   320        0.8792             nan     0.0100    0.0001
   340        0.8722             nan     0.0100    0.0001
   360        0.8652             nan     0.0100    0.0001
   380        0.8594             nan     0.0100    0.0001
   400        0.8540             nan     0.0100    0.0001
   420        0.8489             nan     0.0100   -0.0001
   440        0.8438             nan     0.0100    0.0000
   460        0.8398             nan     0.0100   -0.0000
   480        0.8358             nan     0.0100   -0.0000
   500        0.8318             nan     0.0100    0.0000
   520        0.8279             nan     0.0100    0.0000
   540        0.8246             nan     0.0100    0.0000
   560        0.8215             nan     0.0100   -0.0001
   580        0.8182             nan     0.0100    0.0000
   600        0.8150             nan     0.0100   -0.0001
   620        0.8116             nan     0.0100    0.0000
   640        0.8087             nan     0.0100   -0.0000
   660        0.8057             nan     0.0100    0.0000
   680        0.8027             nan     0.0100   -0.0000
   700        0.8003             nan     0.0100    0.0000
   720        0.7977             nan     0.0100   -0.0000
   740        0.7955             nan     0.0100   -0.0000
   760        0.7931             nan     0.0100   -0.0001
   780        0.7907             nan     0.0100    0.0000
   800        0.7883             nan     0.0100   -0.0000
   820        0.7859             nan     0.0100   -0.0001
   840        0.7839             nan     0.0100    0.0000
   860        0.7818             nan     0.0100   -0.0000
   880        0.7799             nan     0.0100   -0.0000
   900        0.7779             nan     0.0100   -0.0000
   920        0.7759             nan     0.0100   -0.0000
   940        0.7741             nan     0.0100    0.0000
   960        0.7724             nan     0.0100   -0.0000
   980        0.7708             nan     0.0100   -0.0001
  1000        0.7692             nan     0.0100    0.0000
  1020        0.7677             nan     0.0100   -0.0001
  1040        0.7662             nan     0.0100   -0.0000
  1060        0.7649             nan     0.0100   -0.0001
  1080        0.7634             nan     0.0100   -0.0000
  1100        0.7619             nan     0.0100   -0.0000

- Fold04.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3230             nan     0.0100    0.0040
     2        1.3155             nan     0.0100    0.0038
     3        1.3078             nan     0.0100    0.0037
     4        1.2998             nan     0.0100    0.0033
     5        1.2931             nan     0.0100    0.0035
     6        1.2860             nan     0.0100    0.0032
     7        1.2789             nan     0.0100    0.0033
     8        1.2723             nan     0.0100    0.0032
     9        1.2652             nan     0.0100    0.0033
    10        1.2587             nan     0.0100    0.0035
    20        1.1968             nan     0.0100    0.0025
    40        1.1038             nan     0.0100    0.0017
    60        1.0373             nan     0.0100    0.0014
    80        0.9864             nan     0.0100    0.0008
   100        0.9479             nan     0.0100    0.0008
   120        0.9173             nan     0.0100    0.0004
   140        0.8928             nan     0.0100    0.0003
   160        0.8742             nan     0.0100    0.0004
   180        0.8586             nan     0.0100    0.0003
   200        0.8452             nan     0.0100    0.0001
   220        0.8336             nan     0.0100   -0.0000
   240        0.8227             nan     0.0100    0.0000
   260        0.8132             nan     0.0100    0.0001
   280        0.8054             nan     0.0100    0.0002
   300        0.7973             nan     0.0100    0.0001
   320        0.7901             nan     0.0100   -0.0000
   340        0.7824             nan     0.0100    0.0000
   360        0.7765             nan     0.0100   -0.0000
   380        0.7713             nan     0.0100   -0.0000
   400        0.7660             nan     0.0100   -0.0001
   420        0.7615             nan     0.0100   -0.0000
   440        0.7569             nan     0.0100    0.0000
   460        0.7520             nan     0.0100    0.0000
   480        0.7480             nan     0.0100   -0.0000
   500        0.7440             nan     0.0100   -0.0001
   520        0.7402             nan     0.0100   -0.0001
   540        0.7362             nan     0.0100   -0.0001
   560        0.7329             nan     0.0100   -0.0000
   580        0.7293             nan     0.0100   -0.0001
   600        0.7259             nan     0.0100    0.0000
   620        0.7228             nan     0.0100   -0.0001
   640        0.7197             nan     0.0100    0.0000
   660        0.7171             nan     0.0100   -0.0000
   680        0.7142             nan     0.0100   -0.0001
   700        0.7115             nan     0.0100   -0.0001
   720        0.7088             nan     0.0100   -0.0001
   740        0.7061             nan     0.0100   -0.0001
   760        0.7035             nan     0.0100   -0.0002
   780        0.7010             nan     0.0100   -0.0001
   800        0.6986             nan     0.0100   -0.0002
   820        0.6963             nan     0.0100   -0.0001
   840        0.6942             nan     0.0100   -0.0000
   860        0.6919             nan     0.0100    0.0000
   880        0.6900             nan     0.0100   -0.0001
   900        0.6878             nan     0.0100   -0.0002
   920        0.6855             nan     0.0100   -0.0000
   940        0.6835             nan     0.0100   -0.0001
   960        0.6814             nan     0.0100   -0.0001
   980        0.6795             nan     0.0100   -0.0001
  1000        0.6777             nan     0.0100   -0.0001
  1020        0.6758             nan     0.0100   -0.0000
  1040        0.6742             nan     0.0100   -0.0000
  1060        0.6722             nan     0.0100   -0.0001
  1080        0.6705             nan     0.0100   -0.0001
  1100        0.6687             nan     0.0100   -0.0001

- Fold04.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3228             nan     0.0100    0.0043
     2        1.3148             nan     0.0100    0.0042
     3        1.3063             nan     0.0100    0.0039
     4        1.2986             nan     0.0100    0.0038
     5        1.2910             nan     0.0100    0.0041
     6        1.2833             nan     0.0100    0.0039
     7        1.2753             nan     0.0100    0.0037
     8        1.2681             nan     0.0100    0.0038
     9        1.2609             nan     0.0100    0.0037
    10        1.2538             nan     0.0100    0.0036
    20        1.1873             nan     0.0100    0.0027
    40        1.0863             nan     0.0100    0.0021
    60        1.0119             nan     0.0100    0.0015
    80        0.9578             nan     0.0100    0.0011
   100        0.9145             nan     0.0100    0.0009
   120        0.8813             nan     0.0100    0.0005
   140        0.8563             nan     0.0100    0.0002
   160        0.8362             nan     0.0100    0.0003
   180        0.8191             nan     0.0100    0.0004
   200        0.8050             nan     0.0100    0.0001
   220        0.7929             nan     0.0100   -0.0000
   240        0.7824             nan     0.0100   -0.0000
   260        0.7730             nan     0.0100   -0.0000
   280        0.7638             nan     0.0100    0.0000
   300        0.7563             nan     0.0100    0.0000
   320        0.7485             nan     0.0100   -0.0001
   340        0.7409             nan     0.0100    0.0000
   360        0.7341             nan     0.0100   -0.0000
   380        0.7278             nan     0.0100   -0.0000
   400        0.7219             nan     0.0100    0.0000
   420        0.7172             nan     0.0100    0.0000
   440        0.7121             nan     0.0100   -0.0000
   460        0.7070             nan     0.0100   -0.0000
   480        0.7024             nan     0.0100   -0.0001
   500        0.6978             nan     0.0100   -0.0001
   520        0.6933             nan     0.0100   -0.0000
   540        0.6890             nan     0.0100   -0.0001
   560        0.6856             nan     0.0100   -0.0001
   580        0.6818             nan     0.0100   -0.0001
   600        0.6777             nan     0.0100   -0.0001
   620        0.6736             nan     0.0100   -0.0001
   640        0.6703             nan     0.0100    0.0000
   660        0.6668             nan     0.0100   -0.0000
   680        0.6636             nan     0.0100   -0.0001
   700        0.6609             nan     0.0100   -0.0002
   720        0.6578             nan     0.0100   -0.0002
   740        0.6547             nan     0.0100   -0.0001
   760        0.6520             nan     0.0100   -0.0001
   780        0.6490             nan     0.0100   -0.0001
   800        0.6464             nan     0.0100   -0.0001
   820        0.6437             nan     0.0100   -0.0001
   840        0.6406             nan     0.0100   -0.0001
   860        0.6378             nan     0.0100   -0.0001
   880        0.6353             nan     0.0100   -0.0002
   900        0.6327             nan     0.0100   -0.0001
   920        0.6298             nan     0.0100   -0.0001
   940        0.6277             nan     0.0100   -0.0001
   960        0.6253             nan     0.0100   -0.0002
   980        0.6230             nan     0.0100   -0.0002
  1000        0.6207             nan     0.0100   -0.0002
  1020        0.6186             nan     0.0100   -0.0001
  1040        0.6162             nan     0.0100   -0.0002
  1060        0.6135             nan     0.0100   -0.0001
  1080        0.6115             nan     0.0100   -0.0003
  1100        0.6092             nan     0.0100   -0.0002

- Fold04.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2742             nan     0.1000    0.0296
     2        1.2307             nan     0.1000    0.0240
     3        1.1896             nan     0.1000    0.0208
     4        1.1573             nan     0.1000    0.0165
     5        1.1289             nan     0.1000    0.0130
     6        1.1013             nan     0.1000    0.0117
     7        1.0816             nan     0.1000    0.0088
     8        1.0652             nan     0.1000    0.0082
     9        1.0475             nan     0.1000    0.0084
    10        1.0326             nan     0.1000    0.0051
    20        0.9352             nan     0.1000    0.0028
    40        0.8498             nan     0.1000    0.0008
    60        0.8114             nan     0.1000   -0.0004
    80        0.7837             nan     0.1000   -0.0001
   100        0.7672             nan     0.1000   -0.0002
   120        0.7559             nan     0.1000   -0.0005
   140        0.7464             nan     0.1000   -0.0004
   160        0.7370             nan     0.1000   -0.0006
   180        0.7283             nan     0.1000   -0.0016
   200        0.7217             nan     0.1000   -0.0007
   220        0.7144             nan     0.1000   -0.0005
   240        0.7082             nan     0.1000   -0.0016
   260        0.7016             nan     0.1000   -0.0017
   280        0.6984             nan     0.1000   -0.0015
   300        0.6941             nan     0.1000   -0.0005
   320        0.6910             nan     0.1000   -0.0009
   340        0.6866             nan     0.1000   -0.0007
   360        0.6824             nan     0.1000   -0.0008
   380        0.6801             nan     0.1000   -0.0008
   400        0.6771             nan     0.1000   -0.0003
   420        0.6743             nan     0.1000   -0.0007
   440        0.6716             nan     0.1000   -0.0004
   460        0.6693             nan     0.1000   -0.0025
   480        0.6674             nan     0.1000   -0.0003
   500        0.6653             nan     0.1000   -0.0004
   520        0.6624             nan     0.1000   -0.0009
   540        0.6604             nan     0.1000   -0.0007
   560        0.6583             nan     0.1000   -0.0010
   580        0.6572             nan     0.1000   -0.0006
   600        0.6544             nan     0.1000   -0.0009
   620        0.6526             nan     0.1000   -0.0003
   640        0.6509             nan     0.1000   -0.0006
   660        0.6495             nan     0.1000   -0.0013
   680        0.6474             nan     0.1000   -0.0008
   700        0.6448             nan     0.1000   -0.0003
   720        0.6422             nan     0.1000   -0.0008
   740        0.6418             nan     0.1000   -0.0004
   760        0.6392             nan     0.1000   -0.0015
   780        0.6378             nan     0.1000   -0.0009
   800        0.6351             nan     0.1000   -0.0003
   820        0.6336             nan     0.1000   -0.0012
   840        0.6313             nan     0.1000   -0.0007
   860        0.6290             nan     0.1000   -0.0013
   880        0.6285             nan     0.1000   -0.0010
   900        0.6263             nan     0.1000   -0.0013
   920        0.6258             nan     0.1000   -0.0005
   940        0.6227             nan     0.1000   -0.0006
   960        0.6214             nan     0.1000   -0.0005
   980        0.6193             nan     0.1000   -0.0002
  1000        0.6181             nan     0.1000   -0.0003
  1020        0.6170             nan     0.1000   -0.0007
  1040        0.6158             nan     0.1000   -0.0007
  1060        0.6142             nan     0.1000   -0.0009
  1080        0.6140             nan     0.1000   -0.0008
  1100        0.6115             nan     0.1000   -0.0004

- Fold04.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2528             nan     0.1000    0.0368
     2        1.1946             nan     0.1000    0.0300
     3        1.1427             nan     0.1000    0.0250
     4        1.0969             nan     0.1000    0.0209
     5        1.0613             nan     0.1000    0.0163
     6        1.0319             nan     0.1000    0.0145
     7        1.0051             nan     0.1000    0.0131
     8        0.9811             nan     0.1000    0.0097
     9        0.9633             nan     0.1000    0.0085
    10        0.9462             nan     0.1000    0.0086
    20        0.8449             nan     0.1000    0.0008
    40        0.7658             nan     0.1000    0.0002
    60        0.7270             nan     0.1000   -0.0002
    80        0.7011             nan     0.1000   -0.0001
   100        0.6787             nan     0.1000   -0.0009
   120        0.6614             nan     0.1000   -0.0011
   140        0.6444             nan     0.1000   -0.0007
   160        0.6302             nan     0.1000   -0.0025
   180        0.6196             nan     0.1000   -0.0016
   200        0.6069             nan     0.1000   -0.0012
   220        0.5985             nan     0.1000   -0.0005
   240        0.5862             nan     0.1000   -0.0005
   260        0.5784             nan     0.1000   -0.0004
   280        0.5681             nan     0.1000   -0.0015
   300        0.5596             nan     0.1000   -0.0017
   320        0.5526             nan     0.1000   -0.0022
   340        0.5442             nan     0.1000   -0.0002
   360        0.5384             nan     0.1000   -0.0016
   380        0.5313             nan     0.1000   -0.0010
   400        0.5251             nan     0.1000   -0.0020
   420        0.5192             nan     0.1000   -0.0005
   440        0.5119             nan     0.1000   -0.0009
   460        0.5036             nan     0.1000   -0.0016
   480        0.4970             nan     0.1000   -0.0004
   500        0.4882             nan     0.1000   -0.0004
   520        0.4827             nan     0.1000   -0.0011
   540        0.4787             nan     0.1000   -0.0010
   560        0.4732             nan     0.1000   -0.0002
   580        0.4686             nan     0.1000   -0.0005
   600        0.4648             nan     0.1000   -0.0007
   620        0.4597             nan     0.1000   -0.0008
   640        0.4544             nan     0.1000   -0.0016
   660        0.4481             nan     0.1000   -0.0006
   680        0.4446             nan     0.1000   -0.0009
   700        0.4391             nan     0.1000   -0.0009
   720        0.4356             nan     0.1000   -0.0013
   740        0.4319             nan     0.1000   -0.0007
   760        0.4292             nan     0.1000   -0.0007
   780        0.4246             nan     0.1000   -0.0005
   800        0.4208             nan     0.1000   -0.0012
   820        0.4171             nan     0.1000   -0.0007
   840        0.4133             nan     0.1000   -0.0009
   860        0.4099             nan     0.1000   -0.0017
   880        0.4063             nan     0.1000   -0.0008
   900        0.4025             nan     0.1000   -0.0014
   920        0.3986             nan     0.1000   -0.0005
   940        0.3943             nan     0.1000   -0.0005
   960        0.3913             nan     0.1000   -0.0014
   980        0.3879             nan     0.1000   -0.0013
  1000        0.3843             nan     0.1000   -0.0010
  1020        0.3801             nan     0.1000   -0.0004
  1040        0.3777             nan     0.1000   -0.0012
  1060        0.3759             nan     0.1000   -0.0009
  1080        0.3724             nan     0.1000   -0.0012
  1100        0.3701             nan     0.1000   -0.0010

- Fold04.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2522             nan     0.1000    0.0420
     2        1.1870             nan     0.1000    0.0332
     3        1.1287             nan     0.1000    0.0275
     4        1.0794             nan     0.1000    0.0230
     5        1.0413             nan     0.1000    0.0185
     6        1.0115             nan     0.1000    0.0120
     7        0.9826             nan     0.1000    0.0149
     8        0.9564             nan     0.1000    0.0111
     9        0.9439             nan     0.1000    0.0039
    10        0.9215             nan     0.1000    0.0092
    20        0.8060             nan     0.1000    0.0033
    40        0.7242             nan     0.1000    0.0011
    60        0.6868             nan     0.1000   -0.0011
    80        0.6576             nan     0.1000   -0.0015
   100        0.6285             nan     0.1000   -0.0007
   120        0.6072             nan     0.1000   -0.0010
   140        0.5860             nan     0.1000   -0.0007
   160        0.5639             nan     0.1000   -0.0007
   180        0.5471             nan     0.1000   -0.0009
   200        0.5306             nan     0.1000   -0.0009
   220        0.5183             nan     0.1000   -0.0009
   240        0.5043             nan     0.1000   -0.0011
   260        0.4903             nan     0.1000   -0.0004
   280        0.4767             nan     0.1000   -0.0015
   300        0.4655             nan     0.1000   -0.0013
   320        0.4553             nan     0.1000   -0.0009
   340        0.4420             nan     0.1000   -0.0011
   360        0.4304             nan     0.1000   -0.0010
   380        0.4197             nan     0.1000   -0.0008
   400        0.4105             nan     0.1000   -0.0011
   420        0.3989             nan     0.1000   -0.0013
   440        0.3904             nan     0.1000   -0.0004
   460        0.3834             nan     0.1000   -0.0007
   480        0.3761             nan     0.1000   -0.0013
   500        0.3708             nan     0.1000   -0.0012
   520        0.3650             nan     0.1000   -0.0010
   540        0.3597             nan     0.1000   -0.0011
   560        0.3531             nan     0.1000   -0.0005
   580        0.3443             nan     0.1000   -0.0016
   600        0.3372             nan     0.1000   -0.0010
   620        0.3311             nan     0.1000   -0.0012
   640        0.3262             nan     0.1000   -0.0008
   660        0.3215             nan     0.1000   -0.0010
   680        0.3169             nan     0.1000   -0.0012
   700        0.3104             nan     0.1000   -0.0009
   720        0.3060             nan     0.1000   -0.0008
   740        0.3018             nan     0.1000   -0.0006
   760        0.2966             nan     0.1000   -0.0005
   780        0.2923             nan     0.1000   -0.0015
   800        0.2883             nan     0.1000   -0.0009
   820        0.2840             nan     0.1000   -0.0010
   840        0.2798             nan     0.1000   -0.0013
   860        0.2752             nan     0.1000   -0.0011
   880        0.2718             nan     0.1000   -0.0006
   900        0.2671             nan     0.1000   -0.0008
   920        0.2628             nan     0.1000   -0.0010
   940        0.2579             nan     0.1000   -0.0009
   960        0.2545             nan     0.1000   -0.0004
   980        0.2512             nan     0.1000   -0.0005
  1000        0.2490             nan     0.1000   -0.0004
  1020        0.2448             nan     0.1000   -0.0007
  1040        0.2413             nan     0.1000   -0.0009
  1060        0.2400             nan     0.1000   -0.0009
  1080        0.2371             nan     0.1000   -0.0015
  1100        0.2345             nan     0.1000   -0.0008

- Fold04.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3260             nan     0.0100    0.0030
     2        1.3197             nan     0.0100    0.0029
     3        1.3139             nan     0.0100    0.0029
     4        1.3079             nan     0.0100    0.0028
     5        1.3022             nan     0.0100    0.0028
     6        1.2968             nan     0.0100    0.0028
     7        1.2916             nan     0.0100    0.0026
     8        1.2867             nan     0.0100    0.0026
     9        1.2823             nan     0.0100    0.0025
    10        1.2769             nan     0.0100    0.0025
    20        1.2306             nan     0.0100    0.0021
    40        1.1615             nan     0.0100    0.0014
    60        1.1122             nan     0.0100    0.0011
    80        1.0726             nan     0.0100    0.0008
   100        1.0404             nan     0.0100    0.0006
   120        1.0160             nan     0.0100    0.0005
   140        0.9943             nan     0.0100    0.0003
   160        0.9756             nan     0.0100    0.0003
   180        0.9598             nan     0.0100    0.0003
   200        0.9460             nan     0.0100    0.0003
   220        0.9337             nan     0.0100    0.0001
   240        0.9228             nan     0.0100    0.0001
   260        0.9129             nan     0.0100    0.0002
   280        0.9040             nan     0.0100    0.0001
   300        0.8966             nan     0.0100    0.0001
   320        0.8894             nan     0.0100    0.0002
   340        0.8826             nan     0.0100    0.0001
   360        0.8765             nan     0.0100    0.0000
   380        0.8708             nan     0.0100    0.0000
   400        0.8661             nan     0.0100    0.0001
   420        0.8613             nan     0.0100    0.0001
   440        0.8567             nan     0.0100    0.0001
   460        0.8523             nan     0.0100    0.0001
   480        0.8480             nan     0.0100    0.0000
   500        0.8443             nan     0.0100   -0.0001
   520        0.8405             nan     0.0100    0.0001
   540        0.8367             nan     0.0100    0.0000
   560        0.8332             nan     0.0100   -0.0000
   580        0.8300             nan     0.0100   -0.0000
   600        0.8269             nan     0.0100    0.0000
   620        0.8243             nan     0.0100   -0.0001
   640        0.8216             nan     0.0100   -0.0001
   660        0.8189             nan     0.0100    0.0000
   680        0.8164             nan     0.0100   -0.0000
   700        0.8139             nan     0.0100   -0.0000
   720        0.8116             nan     0.0100   -0.0000
   740        0.8093             nan     0.0100   -0.0001
   760        0.8072             nan     0.0100    0.0000
   780        0.8050             nan     0.0100   -0.0000
   800        0.8031             nan     0.0100   -0.0000
   820        0.8012             nan     0.0100    0.0000
   840        0.7994             nan     0.0100   -0.0001
   860        0.7976             nan     0.0100   -0.0000
   880        0.7957             nan     0.0100    0.0000
   900        0.7939             nan     0.0100   -0.0000
   920        0.7920             nan     0.0100   -0.0000
   940        0.7904             nan     0.0100   -0.0000
   960        0.7889             nan     0.0100   -0.0000
   980        0.7873             nan     0.0100   -0.0001
  1000        0.7857             nan     0.0100   -0.0001
  1020        0.7841             nan     0.0100   -0.0000
  1040        0.7828             nan     0.0100   -0.0002
  1060        0.7814             nan     0.0100    0.0000
  1080        0.7802             nan     0.0100   -0.0000
  1100        0.7789             nan     0.0100   -0.0001

- Fold05.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3233             nan     0.0100    0.0039
     2        1.3162             nan     0.0100    0.0036
     3        1.3087             nan     0.0100    0.0035
     4        1.3015             nan     0.0100    0.0036
     5        1.2945             nan     0.0100    0.0035
     6        1.2874             nan     0.0100    0.0033
     7        1.2805             nan     0.0100    0.0036
     8        1.2737             nan     0.0100    0.0032
     9        1.2667             nan     0.0100    0.0033
    10        1.2602             nan     0.0100    0.0032
    20        1.2036             nan     0.0100    0.0026
    40        1.1156             nan     0.0100    0.0016
    60        1.0499             nan     0.0100    0.0014
    80        0.9996             nan     0.0100    0.0009
   100        0.9606             nan     0.0100    0.0008
   120        0.9316             nan     0.0100    0.0006
   140        0.9084             nan     0.0100    0.0003
   160        0.8905             nan     0.0100    0.0004
   180        0.8740             nan     0.0100    0.0003
   200        0.8610             nan     0.0100    0.0001
   220        0.8492             nan     0.0100    0.0001
   240        0.8390             nan     0.0100    0.0001
   260        0.8298             nan     0.0100    0.0001
   280        0.8219             nan     0.0100    0.0000
   300        0.8144             nan     0.0100    0.0001
   320        0.8077             nan     0.0100    0.0001
   340        0.8018             nan     0.0100    0.0000
   360        0.7959             nan     0.0100    0.0000
   380        0.7906             nan     0.0100    0.0000
   400        0.7856             nan     0.0100   -0.0000
   420        0.7812             nan     0.0100   -0.0000
   440        0.7767             nan     0.0100    0.0000
   460        0.7729             nan     0.0100   -0.0000
   480        0.7686             nan     0.0100    0.0000
   500        0.7645             nan     0.0100   -0.0001
   520        0.7612             nan     0.0100   -0.0001
   540        0.7577             nan     0.0100   -0.0000
   560        0.7545             nan     0.0100   -0.0000
   580        0.7512             nan     0.0100   -0.0001
   600        0.7478             nan     0.0100    0.0000
   620        0.7448             nan     0.0100    0.0000
   640        0.7417             nan     0.0100   -0.0000
   660        0.7384             nan     0.0100   -0.0000
   680        0.7356             nan     0.0100   -0.0001
   700        0.7327             nan     0.0100   -0.0000
   720        0.7299             nan     0.0100   -0.0001
   740        0.7277             nan     0.0100   -0.0001
   760        0.7248             nan     0.0100   -0.0001
   780        0.7218             nan     0.0100   -0.0001
   800        0.7192             nan     0.0100   -0.0001
   820        0.7171             nan     0.0100   -0.0000
   840        0.7150             nan     0.0100   -0.0001
   860        0.7129             nan     0.0100   -0.0001
   880        0.7107             nan     0.0100   -0.0001
   900        0.7081             nan     0.0100   -0.0001
   920        0.7058             nan     0.0100   -0.0000
   940        0.7038             nan     0.0100   -0.0001
   960        0.7015             nan     0.0100   -0.0001
   980        0.6995             nan     0.0100   -0.0001
  1000        0.6974             nan     0.0100   -0.0001
  1020        0.6954             nan     0.0100   -0.0000
  1040        0.6934             nan     0.0100   -0.0001
  1060        0.6916             nan     0.0100   -0.0000
  1080        0.6897             nan     0.0100   -0.0001
  1100        0.6878             nan     0.0100   -0.0001

- Fold05.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3233             nan     0.0100    0.0040
     2        1.3154             nan     0.0100    0.0040
     3        1.3075             nan     0.0100    0.0037
     4        1.2994             nan     0.0100    0.0037
     5        1.2914             nan     0.0100    0.0037
     6        1.2834             nan     0.0100    0.0035
     7        1.2761             nan     0.0100    0.0036
     8        1.2689             nan     0.0100    0.0036
     9        1.2617             nan     0.0100    0.0033
    10        1.2551             nan     0.0100    0.0034
    20        1.1921             nan     0.0100    0.0029
    40        1.0929             nan     0.0100    0.0020
    60        1.0210             nan     0.0100    0.0016
    80        0.9681             nan     0.0100    0.0011
   100        0.9290             nan     0.0100    0.0007
   120        0.8998             nan     0.0100    0.0007
   140        0.8757             nan     0.0100    0.0005
   160        0.8565             nan     0.0100    0.0003
   180        0.8401             nan     0.0100   -0.0000
   200        0.8262             nan     0.0100    0.0001
   220        0.8131             nan     0.0100    0.0001
   240        0.8020             nan     0.0100    0.0001
   260        0.7918             nan     0.0100   -0.0000
   280        0.7826             nan     0.0100    0.0002
   300        0.7751             nan     0.0100   -0.0000
   320        0.7682             nan     0.0100    0.0001
   340        0.7610             nan     0.0100   -0.0001
   360        0.7545             nan     0.0100   -0.0000
   380        0.7485             nan     0.0100    0.0001
   400        0.7430             nan     0.0100   -0.0002
   420        0.7374             nan     0.0100    0.0001
   440        0.7319             nan     0.0100   -0.0000
   460        0.7269             nan     0.0100    0.0000
   480        0.7224             nan     0.0100   -0.0001
   500        0.7179             nan     0.0100   -0.0001
   520        0.7141             nan     0.0100   -0.0001
   540        0.7100             nan     0.0100   -0.0001
   560        0.7064             nan     0.0100   -0.0002
   580        0.7023             nan     0.0100   -0.0000
   600        0.6982             nan     0.0100   -0.0001
   620        0.6945             nan     0.0100    0.0000
   640        0.6907             nan     0.0100   -0.0001
   660        0.6876             nan     0.0100   -0.0002
   680        0.6839             nan     0.0100   -0.0001
   700        0.6804             nan     0.0100   -0.0001
   720        0.6771             nan     0.0100   -0.0001
   740        0.6742             nan     0.0100   -0.0001
   760        0.6707             nan     0.0100   -0.0001
   780        0.6675             nan     0.0100   -0.0001
   800        0.6639             nan     0.0100   -0.0001
   820        0.6602             nan     0.0100   -0.0001
   840        0.6569             nan     0.0100   -0.0002
   860        0.6543             nan     0.0100   -0.0001
   880        0.6517             nan     0.0100   -0.0001
   900        0.6489             nan     0.0100   -0.0001
   920        0.6464             nan     0.0100    0.0000
   940        0.6436             nan     0.0100   -0.0000
   960        0.6405             nan     0.0100   -0.0001
   980        0.6379             nan     0.0100   -0.0001
  1000        0.6357             nan     0.0100   -0.0002
  1020        0.6333             nan     0.0100   -0.0001
  1040        0.6308             nan     0.0100   -0.0002
  1060        0.6283             nan     0.0100   -0.0002
  1080        0.6259             nan     0.0100   -0.0000
  1100        0.6238             nan     0.0100   -0.0001

- Fold05.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2744             nan     0.1000    0.0289
     2        1.2247             nan     0.1000    0.0230
     3        1.1912             nan     0.1000    0.0189
     4        1.1563             nan     0.1000    0.0141
     5        1.1278             nan     0.1000    0.0138
     6        1.1066             nan     0.1000    0.0083
     7        1.0835             nan     0.1000    0.0108
     8        1.0646             nan     0.1000    0.0085
     9        1.0468             nan     0.1000    0.0068
    10        1.0339             nan     0.1000    0.0059
    20        0.9420             nan     0.1000    0.0023
    40        0.8656             nan     0.1000    0.0008
    60        0.8255             nan     0.1000   -0.0009
    80        0.8010             nan     0.1000   -0.0005
   100        0.7848             nan     0.1000   -0.0002
   120        0.7724             nan     0.1000   -0.0003
   140        0.7627             nan     0.1000   -0.0001
   160        0.7556             nan     0.1000   -0.0005
   180        0.7472             nan     0.1000   -0.0006
   200        0.7392             nan     0.1000   -0.0002
   220        0.7341             nan     0.1000   -0.0007
   240        0.7277             nan     0.1000   -0.0001
   260        0.7215             nan     0.1000   -0.0006
   280        0.7181             nan     0.1000   -0.0001
   300        0.7137             nan     0.1000   -0.0012
   320        0.7086             nan     0.1000   -0.0007
   340        0.7059             nan     0.1000   -0.0006
   360        0.7015             nan     0.1000   -0.0012
   380        0.6977             nan     0.1000   -0.0007
   400        0.6950             nan     0.1000   -0.0008
   420        0.6923             nan     0.1000   -0.0006
   440        0.6895             nan     0.1000   -0.0013
   460        0.6862             nan     0.1000   -0.0013
   480        0.6846             nan     0.1000   -0.0010
   500        0.6827             nan     0.1000   -0.0006
   520        0.6806             nan     0.1000   -0.0010
   540        0.6781             nan     0.1000   -0.0005
   560        0.6768             nan     0.1000   -0.0005
   580        0.6749             nan     0.1000   -0.0006
   600        0.6737             nan     0.1000   -0.0014
   620        0.6696             nan     0.1000   -0.0007
   640        0.6681             nan     0.1000   -0.0006
   660        0.6659             nan     0.1000   -0.0021
   680        0.6633             nan     0.1000   -0.0005
   700        0.6616             nan     0.1000   -0.0003
   720        0.6586             nan     0.1000   -0.0006
   740        0.6564             nan     0.1000   -0.0003
   760        0.6546             nan     0.1000   -0.0005
   780        0.6537             nan     0.1000   -0.0002
   800        0.6522             nan     0.1000   -0.0011
   820        0.6510             nan     0.1000   -0.0012
   840        0.6479             nan     0.1000   -0.0010
   860        0.6459             nan     0.1000   -0.0004
   880        0.6437             nan     0.1000   -0.0009
   900        0.6424             nan     0.1000   -0.0009
   920        0.6411             nan     0.1000   -0.0013
   940        0.6396             nan     0.1000   -0.0003
   960        0.6375             nan     0.1000   -0.0007
   980        0.6366             nan     0.1000   -0.0004
  1000        0.6365             nan     0.1000   -0.0013
  1020        0.6351             nan     0.1000   -0.0010
  1040        0.6345             nan     0.1000   -0.0007
  1060        0.6327             nan     0.1000   -0.0004
  1080        0.6313             nan     0.1000   -0.0005
  1100        0.6301             nan     0.1000   -0.0003

- Fold05.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2580             nan     0.1000    0.0336
     2        1.1994             nan     0.1000    0.0303
     3        1.1545             nan     0.1000    0.0242
     4        1.1098             nan     0.1000    0.0209
     5        1.0758             nan     0.1000    0.0153
     6        1.0463             nan     0.1000    0.0129
     7        1.0220             nan     0.1000    0.0121
     8        1.0014             nan     0.1000    0.0106
     9        0.9790             nan     0.1000    0.0096
    10        0.9633             nan     0.1000    0.0087
    20        0.8618             nan     0.1000    0.0019
    40        0.7869             nan     0.1000    0.0005
    60        0.7533             nan     0.1000   -0.0004
    80        0.7250             nan     0.1000   -0.0008
   100        0.7071             nan     0.1000   -0.0011
   120        0.6856             nan     0.1000   -0.0012
   140        0.6685             nan     0.1000   -0.0009
   160        0.6527             nan     0.1000   -0.0010
   180        0.6417             nan     0.1000   -0.0010
   200        0.6276             nan     0.1000   -0.0007
   220        0.6147             nan     0.1000    0.0002
   240        0.6044             nan     0.1000   -0.0015
   260        0.5967             nan     0.1000   -0.0009
   280        0.5889             nan     0.1000   -0.0011
   300        0.5797             nan     0.1000   -0.0014
   320        0.5730             nan     0.1000   -0.0012
   340        0.5641             nan     0.1000   -0.0012
   360        0.5581             nan     0.1000   -0.0003
   380        0.5484             nan     0.1000   -0.0004
   400        0.5422             nan     0.1000   -0.0008
   420        0.5365             nan     0.1000   -0.0014
   440        0.5296             nan     0.1000   -0.0004
   460        0.5223             nan     0.1000   -0.0008
   480        0.5174             nan     0.1000   -0.0009
   500        0.5106             nan     0.1000   -0.0005
   520        0.5051             nan     0.1000   -0.0008
   540        0.4996             nan     0.1000   -0.0009
   560        0.4959             nan     0.1000   -0.0011
   580        0.4893             nan     0.1000   -0.0010
   600        0.4849             nan     0.1000   -0.0023
   620        0.4790             nan     0.1000   -0.0020
   640        0.4740             nan     0.1000   -0.0007
   660        0.4671             nan     0.1000   -0.0003
   680        0.4612             nan     0.1000   -0.0004
   700        0.4561             nan     0.1000   -0.0002
   720        0.4529             nan     0.1000   -0.0011
   740        0.4490             nan     0.1000   -0.0003
   760        0.4439             nan     0.1000   -0.0003
   780        0.4406             nan     0.1000   -0.0006
   800        0.4373             nan     0.1000   -0.0010
   820        0.4338             nan     0.1000   -0.0012
   840        0.4312             nan     0.1000   -0.0006
   860        0.4283             nan     0.1000   -0.0016
   880        0.4258             nan     0.1000   -0.0012
   900        0.4202             nan     0.1000   -0.0008
   920        0.4174             nan     0.1000   -0.0004
   940        0.4151             nan     0.1000   -0.0008
   960        0.4112             nan     0.1000   -0.0009
   980        0.4087             nan     0.1000   -0.0011
  1000        0.4039             nan     0.1000   -0.0009
  1020        0.4011             nan     0.1000   -0.0009
  1040        0.3976             nan     0.1000   -0.0010
  1060        0.3956             nan     0.1000   -0.0011
  1080        0.3929             nan     0.1000   -0.0010
  1100        0.3901             nan     0.1000   -0.0008

- Fold05.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2505             nan     0.1000    0.0366
     2        1.1835             nan     0.1000    0.0332
     3        1.1309             nan     0.1000    0.0271
     4        1.0855             nan     0.1000    0.0210
     5        1.0453             nan     0.1000    0.0184
     6        1.0119             nan     0.1000    0.0169
     7        0.9829             nan     0.1000    0.0126
     8        0.9557             nan     0.1000    0.0126
     9        0.9340             nan     0.1000    0.0090
    10        0.9185             nan     0.1000    0.0072
    20        0.8223             nan     0.1000    0.0019
    40        0.7498             nan     0.1000   -0.0006
    60        0.7069             nan     0.1000   -0.0009
    80        0.6724             nan     0.1000   -0.0014
   100        0.6464             nan     0.1000   -0.0010
   120        0.6249             nan     0.1000   -0.0012
   140        0.5976             nan     0.1000   -0.0010
   160        0.5762             nan     0.1000   -0.0010
   180        0.5636             nan     0.1000   -0.0005
   200        0.5479             nan     0.1000   -0.0006
   220        0.5343             nan     0.1000   -0.0010
   240        0.5201             nan     0.1000   -0.0010
   260        0.5102             nan     0.1000   -0.0014
   280        0.4960             nan     0.1000   -0.0008
   300        0.4853             nan     0.1000   -0.0013
   320        0.4790             nan     0.1000   -0.0017
   340        0.4678             nan     0.1000   -0.0011
   360        0.4575             nan     0.1000   -0.0006
   380        0.4490             nan     0.1000   -0.0017
   400        0.4391             nan     0.1000   -0.0009
   420        0.4314             nan     0.1000   -0.0014
   440        0.4213             nan     0.1000   -0.0008
   460        0.4121             nan     0.1000   -0.0013
   480        0.4059             nan     0.1000   -0.0005
   500        0.3994             nan     0.1000   -0.0006
   520        0.3938             nan     0.1000   -0.0016
   540        0.3859             nan     0.1000   -0.0013
   560        0.3788             nan     0.1000   -0.0023
   580        0.3708             nan     0.1000   -0.0011
   600        0.3637             nan     0.1000   -0.0014
   620        0.3576             nan     0.1000   -0.0011
   640        0.3528             nan     0.1000   -0.0010
   660        0.3482             nan     0.1000   -0.0012
   680        0.3441             nan     0.1000   -0.0014
   700        0.3401             nan     0.1000   -0.0014
   720        0.3355             nan     0.1000   -0.0012
   740        0.3310             nan     0.1000   -0.0019
   760        0.3260             nan     0.1000   -0.0009
   780        0.3209             nan     0.1000   -0.0009
   800        0.3159             nan     0.1000   -0.0005
   820        0.3136             nan     0.1000   -0.0011
   840        0.3102             nan     0.1000   -0.0008
   860        0.3070             nan     0.1000   -0.0010
   880        0.3042             nan     0.1000   -0.0010
   900        0.3008             nan     0.1000   -0.0005
   920        0.2978             nan     0.1000   -0.0008
   940        0.2934             nan     0.1000   -0.0009
   960        0.2891             nan     0.1000   -0.0007
   980        0.2856             nan     0.1000   -0.0007
  1000        0.2810             nan     0.1000   -0.0006
  1020        0.2785             nan     0.1000   -0.0011
  1040        0.2764             nan     0.1000   -0.0011
  1060        0.2726             nan     0.1000   -0.0008
  1080        0.2703             nan     0.1000   -0.0016
  1100        0.2671             nan     0.1000   -0.0006

- Fold05.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3264             nan     0.0100    0.0028
     2        1.3205             nan     0.0100    0.0028
     3        1.3153             nan     0.0100    0.0027
     4        1.3103             nan     0.0100    0.0027
     5        1.3055             nan     0.0100    0.0026
     6        1.3001             nan     0.0100    0.0026
     7        1.2943             nan     0.0100    0.0025
     8        1.2891             nan     0.0100    0.0025
     9        1.2843             nan     0.0100    0.0024
    10        1.2791             nan     0.0100    0.0023
    20        1.2344             nan     0.0100    0.0019
    40        1.1701             nan     0.0100    0.0014
    60        1.1240             nan     0.0100    0.0010
    80        1.0880             nan     0.0100    0.0006
   100        1.0589             nan     0.0100    0.0006
   120        1.0340             nan     0.0100    0.0003
   140        1.0138             nan     0.0100    0.0004
   160        0.9966             nan     0.0100    0.0003
   180        0.9821             nan     0.0100    0.0003
   200        0.9692             nan     0.0100    0.0002
   220        0.9578             nan     0.0100    0.0002
   240        0.9480             nan     0.0100    0.0002
   260        0.9389             nan     0.0100    0.0001
   280        0.9304             nan     0.0100    0.0002
   300        0.9220             nan     0.0100    0.0002
   320        0.9154             nan     0.0100    0.0001
   340        0.9086             nan     0.0100    0.0000
   360        0.9021             nan     0.0100    0.0001
   380        0.8968             nan     0.0100    0.0001
   400        0.8912             nan     0.0100    0.0001
   420        0.8865             nan     0.0100    0.0001
   440        0.8816             nan     0.0100   -0.0000
   460        0.8773             nan     0.0100    0.0001
   480        0.8729             nan     0.0100    0.0000
   500        0.8693             nan     0.0100    0.0000
   520        0.8654             nan     0.0100    0.0000
   540        0.8615             nan     0.0100   -0.0000
   560        0.8578             nan     0.0100   -0.0000
   580        0.8545             nan     0.0100    0.0000
   600        0.8515             nan     0.0100   -0.0000
   620        0.8489             nan     0.0100   -0.0000
   640        0.8460             nan     0.0100   -0.0000
   660        0.8431             nan     0.0100   -0.0000
   680        0.8404             nan     0.0100    0.0000
   700        0.8376             nan     0.0100   -0.0000
   720        0.8352             nan     0.0100    0.0000
   740        0.8328             nan     0.0100    0.0000
   760        0.8305             nan     0.0100   -0.0000
   780        0.8282             nan     0.0100   -0.0000
   800        0.8261             nan     0.0100   -0.0000
   820        0.8240             nan     0.0100   -0.0000
   840        0.8220             nan     0.0100   -0.0000
   860        0.8202             nan     0.0100   -0.0000
   880        0.8183             nan     0.0100    0.0000
   900        0.8165             nan     0.0100   -0.0001
   920        0.8149             nan     0.0100   -0.0000
   940        0.8132             nan     0.0100   -0.0001
   960        0.8115             nan     0.0100    0.0000
   980        0.8100             nan     0.0100   -0.0001
  1000        0.8084             nan     0.0100   -0.0001
  1020        0.8070             nan     0.0100   -0.0000
  1040        0.8059             nan     0.0100   -0.0001
  1060        0.8047             nan     0.0100   -0.0001
  1080        0.8033             nan     0.0100   -0.0001
  1100        0.8019             nan     0.0100   -0.0000

- Fold06.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3250             nan     0.0100    0.0035
     2        1.3174             nan     0.0100    0.0034
     3        1.3102             nan     0.0100    0.0034
     4        1.3038             nan     0.0100    0.0033
     5        1.2975             nan     0.0100    0.0033
     6        1.2910             nan     0.0100    0.0032
     7        1.2843             nan     0.0100    0.0031
     8        1.2779             nan     0.0100    0.0030
     9        1.2715             nan     0.0100    0.0027
    10        1.2656             nan     0.0100    0.0030
    20        1.2118             nan     0.0100    0.0025
    40        1.1272             nan     0.0100    0.0016
    60        1.0650             nan     0.0100    0.0013
    80        1.0183             nan     0.0100    0.0009
   100        0.9836             nan     0.0100    0.0007
   120        0.9563             nan     0.0100    0.0005
   140        0.9335             nan     0.0100    0.0003
   160        0.9161             nan     0.0100    0.0003
   180        0.8997             nan     0.0100    0.0001
   200        0.8864             nan     0.0100    0.0002
   220        0.8742             nan     0.0100    0.0001
   240        0.8636             nan     0.0100    0.0001
   260        0.8546             nan     0.0100    0.0000
   280        0.8464             nan     0.0100    0.0000
   300        0.8389             nan     0.0100    0.0001
   320        0.8315             nan     0.0100    0.0000
   340        0.8250             nan     0.0100   -0.0000
   360        0.8191             nan     0.0100    0.0001
   380        0.8131             nan     0.0100    0.0001
   400        0.8082             nan     0.0100    0.0001
   420        0.8033             nan     0.0100   -0.0000
   440        0.7988             nan     0.0100   -0.0000
   460        0.7944             nan     0.0100   -0.0000
   480        0.7908             nan     0.0100   -0.0000
   500        0.7869             nan     0.0100   -0.0001
   520        0.7831             nan     0.0100    0.0000
   540        0.7796             nan     0.0100   -0.0001
   560        0.7765             nan     0.0100   -0.0001
   580        0.7734             nan     0.0100   -0.0000
   600        0.7700             nan     0.0100   -0.0000
   620        0.7666             nan     0.0100    0.0000
   640        0.7638             nan     0.0100   -0.0001
   660        0.7609             nan     0.0100   -0.0001
   680        0.7582             nan     0.0100   -0.0000
   700        0.7551             nan     0.0100   -0.0001
   720        0.7526             nan     0.0100   -0.0001
   740        0.7506             nan     0.0100   -0.0000
   760        0.7484             nan     0.0100   -0.0000
   780        0.7464             nan     0.0100   -0.0001
   800        0.7441             nan     0.0100   -0.0001
   820        0.7417             nan     0.0100   -0.0000
   840        0.7399             nan     0.0100   -0.0001
   860        0.7379             nan     0.0100   -0.0001
   880        0.7357             nan     0.0100   -0.0002
   900        0.7334             nan     0.0100   -0.0000
   920        0.7309             nan     0.0100   -0.0000
   940        0.7289             nan     0.0100   -0.0001
   960        0.7268             nan     0.0100   -0.0001
   980        0.7250             nan     0.0100   -0.0002
  1000        0.7232             nan     0.0100    0.0000
  1020        0.7215             nan     0.0100   -0.0000
  1040        0.7196             nan     0.0100   -0.0002
  1060        0.7177             nan     0.0100   -0.0000
  1080        0.7159             nan     0.0100   -0.0001
  1100        0.7140             nan     0.0100   -0.0001

- Fold06.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3239             nan     0.0100    0.0039
     2        1.3162             nan     0.0100    0.0037
     3        1.3081             nan     0.0100    0.0037
     4        1.3007             nan     0.0100    0.0035
     5        1.2935             nan     0.0100    0.0034
     6        1.2867             nan     0.0100    0.0035
     7        1.2796             nan     0.0100    0.0031
     8        1.2726             nan     0.0100    0.0035
     9        1.2660             nan     0.0100    0.0031
    10        1.2594             nan     0.0100    0.0031
    20        1.2001             nan     0.0100    0.0027
    40        1.1067             nan     0.0100    0.0018
    60        1.0379             nan     0.0100    0.0013
    80        0.9874             nan     0.0100    0.0010
   100        0.9515             nan     0.0100    0.0003
   120        0.9221             nan     0.0100    0.0004
   140        0.8994             nan     0.0100    0.0001
   160        0.8786             nan     0.0100    0.0002
   180        0.8620             nan     0.0100    0.0002
   200        0.8479             nan     0.0100    0.0001
   220        0.8364             nan     0.0100    0.0001
   240        0.8243             nan     0.0100    0.0001
   260        0.8143             nan     0.0100    0.0001
   280        0.8056             nan     0.0100    0.0000
   300        0.7975             nan     0.0100   -0.0000
   320        0.7904             nan     0.0100    0.0000
   340        0.7833             nan     0.0100   -0.0001
   360        0.7773             nan     0.0100   -0.0001
   380        0.7718             nan     0.0100    0.0000
   400        0.7660             nan     0.0100    0.0000
   420        0.7602             nan     0.0100   -0.0001
   440        0.7549             nan     0.0100   -0.0001
   460        0.7503             nan     0.0100   -0.0002
   480        0.7460             nan     0.0100   -0.0002
   500        0.7416             nan     0.0100   -0.0001
   520        0.7373             nan     0.0100   -0.0001
   540        0.7334             nan     0.0100   -0.0001
   560        0.7298             nan     0.0100   -0.0001
   580        0.7262             nan     0.0100   -0.0001
   600        0.7231             nan     0.0100   -0.0001
   620        0.7194             nan     0.0100   -0.0000
   640        0.7163             nan     0.0100   -0.0001
   660        0.7130             nan     0.0100   -0.0002
   680        0.7097             nan     0.0100   -0.0001
   700        0.7064             nan     0.0100   -0.0002
   720        0.7034             nan     0.0100   -0.0001
   740        0.7001             nan     0.0100   -0.0000
   760        0.6969             nan     0.0100   -0.0001
   780        0.6935             nan     0.0100   -0.0001
   800        0.6901             nan     0.0100   -0.0000
   820        0.6874             nan     0.0100   -0.0001
   840        0.6847             nan     0.0100   -0.0001
   860        0.6822             nan     0.0100   -0.0002
   880        0.6794             nan     0.0100   -0.0001
   900        0.6771             nan     0.0100   -0.0001
   920        0.6747             nan     0.0100    0.0000
   940        0.6720             nan     0.0100   -0.0002
   960        0.6696             nan     0.0100   -0.0001
   980        0.6673             nan     0.0100   -0.0001
  1000        0.6642             nan     0.0100   -0.0001
  1020        0.6617             nan     0.0100   -0.0002
  1040        0.6592             nan     0.0100   -0.0001
  1060        0.6565             nan     0.0100   -0.0001
  1080        0.6538             nan     0.0100   -0.0002
  1100        0.6512             nan     0.0100   -0.0002

- Fold06.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2786             nan     0.1000    0.0260
     2        1.2340             nan     0.1000    0.0216
     3        1.1962             nan     0.1000    0.0191
     4        1.1676             nan     0.1000    0.0140
     5        1.1409             nan     0.1000    0.0131
     6        1.1202             nan     0.1000    0.0107
     7        1.1030             nan     0.1000    0.0079
     8        1.0863             nan     0.1000    0.0072
     9        1.0702             nan     0.1000    0.0071
    10        1.0568             nan     0.1000    0.0050
    20        0.9669             nan     0.1000    0.0026
    40        0.8898             nan     0.1000    0.0005
    60        0.8545             nan     0.1000   -0.0001
    80        0.8271             nan     0.1000   -0.0007
   100        0.8106             nan     0.1000   -0.0005
   120        0.7996             nan     0.1000   -0.0011
   140        0.7894             nan     0.1000   -0.0004
   160        0.7828             nan     0.1000   -0.0012
   180        0.7739             nan     0.1000   -0.0012
   200        0.7685             nan     0.1000   -0.0008
   220        0.7623             nan     0.1000   -0.0005
   240        0.7584             nan     0.1000   -0.0005
   260        0.7546             nan     0.1000   -0.0008
   280        0.7507             nan     0.1000   -0.0002
   300        0.7464             nan     0.1000   -0.0018
   320        0.7420             nan     0.1000   -0.0005
   340        0.7378             nan     0.1000   -0.0006
   360        0.7354             nan     0.1000   -0.0010
   380        0.7321             nan     0.1000   -0.0010
   400        0.7299             nan     0.1000   -0.0009
   420        0.7259             nan     0.1000   -0.0006
   440        0.7219             nan     0.1000   -0.0008
   460        0.7196             nan     0.1000   -0.0008
   480        0.7172             nan     0.1000   -0.0005
   500        0.7169             nan     0.1000   -0.0008
   520        0.7147             nan     0.1000   -0.0019
   540        0.7123             nan     0.1000   -0.0012
   560        0.7090             nan     0.1000   -0.0004
   580        0.7065             nan     0.1000   -0.0008
   600        0.7045             nan     0.1000   -0.0006
   620        0.7022             nan     0.1000   -0.0005
   640        0.7010             nan     0.1000   -0.0001
   660        0.6985             nan     0.1000   -0.0010
   680        0.6973             nan     0.1000   -0.0009
   700        0.6960             nan     0.1000   -0.0007
   720        0.6937             nan     0.1000   -0.0007
   740        0.6914             nan     0.1000   -0.0010
   760        0.6905             nan     0.1000   -0.0008
   780        0.6891             nan     0.1000   -0.0005
   800        0.6872             nan     0.1000   -0.0008
   820        0.6859             nan     0.1000   -0.0004
   840        0.6831             nan     0.1000   -0.0003
   860        0.6831             nan     0.1000   -0.0012
   880        0.6819             nan     0.1000   -0.0020
   900        0.6797             nan     0.1000   -0.0006
   920        0.6782             nan     0.1000   -0.0008
   940        0.6770             nan     0.1000   -0.0009
   960        0.6766             nan     0.1000   -0.0005
   980        0.6748             nan     0.1000   -0.0009
  1000        0.6735             nan     0.1000   -0.0008
  1020        0.6730             nan     0.1000   -0.0003
  1040        0.6703             nan     0.1000   -0.0007
  1060        0.6702             nan     0.1000   -0.0007
  1080        0.6688             nan     0.1000   -0.0008
  1100        0.6683             nan     0.1000   -0.0008

- Fold06.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2644             nan     0.1000    0.0339
     2        1.2102             nan     0.1000    0.0275
     3        1.1648             nan     0.1000    0.0220
     4        1.1233             nan     0.1000    0.0196
     5        1.0898             nan     0.1000    0.0163
     6        1.0616             nan     0.1000    0.0138
     7        1.0357             nan     0.1000    0.0116
     8        1.0130             nan     0.1000    0.0095
     9        0.9941             nan     0.1000    0.0077
    10        0.9762             nan     0.1000    0.0070
    20        0.8858             nan     0.1000    0.0013
    40        0.8130             nan     0.1000   -0.0000
    60        0.7785             nan     0.1000   -0.0001
    80        0.7511             nan     0.1000   -0.0015
   100        0.7367             nan     0.1000   -0.0017
   120        0.7181             nan     0.1000   -0.0009
   140        0.7025             nan     0.1000   -0.0011
   160        0.6910             nan     0.1000   -0.0017
   180        0.6820             nan     0.1000   -0.0010
   200        0.6688             nan     0.1000   -0.0007
   220        0.6561             nan     0.1000   -0.0005
   240        0.6431             nan     0.1000   -0.0005
   260        0.6317             nan     0.1000   -0.0017
   280        0.6198             nan     0.1000   -0.0007
   300        0.6094             nan     0.1000   -0.0004
   320        0.6034             nan     0.1000   -0.0009
   340        0.5962             nan     0.1000   -0.0010
   360        0.5859             nan     0.1000   -0.0004
   380        0.5779             nan     0.1000   -0.0009
   400        0.5706             nan     0.1000   -0.0009
   420        0.5609             nan     0.1000   -0.0007
   440        0.5550             nan     0.1000   -0.0005
   460        0.5488             nan     0.1000   -0.0003
   480        0.5426             nan     0.1000   -0.0012
   500        0.5357             nan     0.1000   -0.0017
   520        0.5304             nan     0.1000   -0.0019
   540        0.5212             nan     0.1000   -0.0005
   560        0.5168             nan     0.1000   -0.0009
   580        0.5107             nan     0.1000   -0.0007
   600        0.5053             nan     0.1000   -0.0013
   620        0.4998             nan     0.1000   -0.0006
   640        0.4948             nan     0.1000   -0.0009
   660        0.4913             nan     0.1000   -0.0010
   680        0.4864             nan     0.1000   -0.0008
   700        0.4822             nan     0.1000   -0.0013
   720        0.4780             nan     0.1000   -0.0017
   740        0.4725             nan     0.1000   -0.0010
   760        0.4671             nan     0.1000   -0.0009
   780        0.4629             nan     0.1000   -0.0011
   800        0.4593             nan     0.1000   -0.0017
   820        0.4563             nan     0.1000   -0.0009
   840        0.4517             nan     0.1000   -0.0007
   860        0.4481             nan     0.1000   -0.0005
   880        0.4446             nan     0.1000   -0.0009
   900        0.4419             nan     0.1000   -0.0017
   920        0.4384             nan     0.1000   -0.0004
   940        0.4346             nan     0.1000   -0.0006
   960        0.4307             nan     0.1000   -0.0010
   980        0.4280             nan     0.1000   -0.0008
  1000        0.4253             nan     0.1000   -0.0006
  1020        0.4227             nan     0.1000   -0.0009
  1040        0.4201             nan     0.1000   -0.0009
  1060        0.4168             nan     0.1000   -0.0006
  1080        0.4130             nan     0.1000   -0.0009
  1100        0.4103             nan     0.1000   -0.0017

- Fold06.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2568             nan     0.1000    0.0386
     2        1.1981             nan     0.1000    0.0266
     3        1.1487             nan     0.1000    0.0246
     4        1.1067             nan     0.1000    0.0211
     5        1.0711             nan     0.1000    0.0176
     6        1.0372             nan     0.1000    0.0150
     7        1.0095             nan     0.1000    0.0134
     8        0.9838             nan     0.1000    0.0103
     9        0.9640             nan     0.1000    0.0087
    10        0.9436             nan     0.1000    0.0071
    20        0.8520             nan     0.1000    0.0020
    40        0.7726             nan     0.1000   -0.0011
    60        0.7286             nan     0.1000   -0.0005
    80        0.6967             nan     0.1000   -0.0008
   100        0.6712             nan     0.1000   -0.0004
   120        0.6446             nan     0.1000   -0.0010
   140        0.6186             nan     0.1000   -0.0009
   160        0.5941             nan     0.1000   -0.0013
   180        0.5783             nan     0.1000   -0.0013
   200        0.5663             nan     0.1000   -0.0010
   220        0.5516             nan     0.1000   -0.0019
   240        0.5392             nan     0.1000   -0.0016
   260        0.5287             nan     0.1000   -0.0010
   280        0.5178             nan     0.1000   -0.0009
   300        0.5065             nan     0.1000   -0.0011
   320        0.4952             nan     0.1000   -0.0014
   340        0.4874             nan     0.1000   -0.0017
   360        0.4785             nan     0.1000   -0.0011
   380        0.4698             nan     0.1000   -0.0012
   400        0.4585             nan     0.1000   -0.0007
   420        0.4510             nan     0.1000   -0.0011
   440        0.4409             nan     0.1000   -0.0015
   460        0.4336             nan     0.1000   -0.0009
   480        0.4251             nan     0.1000   -0.0011
   500        0.4182             nan     0.1000   -0.0016
   520        0.4112             nan     0.1000   -0.0010
   540        0.4041             nan     0.1000   -0.0008
   560        0.3957             nan     0.1000   -0.0008
   580        0.3899             nan     0.1000   -0.0006
   600        0.3818             nan     0.1000   -0.0016
   620        0.3760             nan     0.1000   -0.0008
   640        0.3694             nan     0.1000   -0.0012
   660        0.3633             nan     0.1000   -0.0011
   680        0.3579             nan     0.1000   -0.0010
   700        0.3524             nan     0.1000   -0.0009
   720        0.3476             nan     0.1000   -0.0007
   740        0.3445             nan     0.1000   -0.0013
   760        0.3391             nan     0.1000   -0.0003
   780        0.3348             nan     0.1000   -0.0013
   800        0.3298             nan     0.1000   -0.0008
   820        0.3242             nan     0.1000   -0.0010
   840        0.3193             nan     0.1000   -0.0009
   860        0.3139             nan     0.1000   -0.0009
   880        0.3091             nan     0.1000   -0.0010
   900        0.3025             nan     0.1000   -0.0016
   920        0.2997             nan     0.1000   -0.0014
   940        0.2964             nan     0.1000   -0.0011
   960        0.2932             nan     0.1000   -0.0002
   980        0.2886             nan     0.1000   -0.0004
  1000        0.2848             nan     0.1000   -0.0009
  1020        0.2823             nan     0.1000   -0.0010
  1040        0.2799             nan     0.1000   -0.0012
  1060        0.2770             nan     0.1000   -0.0011
  1080        0.2747             nan     0.1000   -0.0009
  1100        0.2714             nan     0.1000   -0.0004

- Fold06.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3259             nan     0.0100    0.0031
     2        1.3203             nan     0.0100    0.0030
     3        1.3141             nan     0.0100    0.0029
     4        1.3080             nan     0.0100    0.0029
     5        1.3027             nan     0.0100    0.0028
     6        1.2971             nan     0.0100    0.0028
     7        1.2910             nan     0.0100    0.0028
     8        1.2857             nan     0.0100    0.0027
     9        1.2801             nan     0.0100    0.0026
    10        1.2749             nan     0.0100    0.0026
    20        1.2280             nan     0.0100    0.0021
    40        1.1556             nan     0.0100    0.0016
    60        1.1063             nan     0.0100    0.0011
    80        1.0664             nan     0.0100    0.0009
   100        1.0351             nan     0.0100    0.0005
   120        1.0085             nan     0.0100    0.0005
   140        0.9870             nan     0.0100    0.0004
   160        0.9679             nan     0.0100    0.0003
   180        0.9520             nan     0.0100    0.0003
   200        0.9379             nan     0.0100    0.0002
   220        0.9256             nan     0.0100    0.0003
   240        0.9144             nan     0.0100    0.0002
   260        0.9042             nan     0.0100    0.0002
   280        0.8952             nan     0.0100    0.0001
   300        0.8867             nan     0.0100    0.0000
   320        0.8791             nan     0.0100   -0.0000
   340        0.8720             nan     0.0100    0.0001
   360        0.8653             nan     0.0100    0.0001
   380        0.8596             nan     0.0100    0.0001
   400        0.8541             nan     0.0100    0.0000
   420        0.8488             nan     0.0100    0.0000
   440        0.8435             nan     0.0100   -0.0000
   460        0.8386             nan     0.0100   -0.0001
   480        0.8339             nan     0.0100    0.0000
   500        0.8296             nan     0.0100    0.0000
   520        0.8255             nan     0.0100   -0.0000
   540        0.8219             nan     0.0100    0.0000
   560        0.8183             nan     0.0100    0.0000
   580        0.8148             nan     0.0100   -0.0001
   600        0.8114             nan     0.0100    0.0000
   620        0.8081             nan     0.0100    0.0001
   640        0.8052             nan     0.0100    0.0000
   660        0.8024             nan     0.0100   -0.0001
   680        0.7994             nan     0.0100    0.0000
   700        0.7966             nan     0.0100   -0.0000
   720        0.7943             nan     0.0100   -0.0000
   740        0.7918             nan     0.0100   -0.0000
   760        0.7893             nan     0.0100   -0.0000
   780        0.7873             nan     0.0100   -0.0000
   800        0.7851             nan     0.0100   -0.0000
   820        0.7831             nan     0.0100   -0.0001
   840        0.7810             nan     0.0100   -0.0001
   860        0.7790             nan     0.0100   -0.0001
   880        0.7771             nan     0.0100    0.0000
   900        0.7754             nan     0.0100   -0.0000
   920        0.7736             nan     0.0100   -0.0000
   940        0.7720             nan     0.0100   -0.0000
   960        0.7701             nan     0.0100   -0.0000
   980        0.7686             nan     0.0100   -0.0001
  1000        0.7671             nan     0.0100   -0.0000
  1020        0.7658             nan     0.0100   -0.0001
  1040        0.7642             nan     0.0100    0.0000
  1060        0.7626             nan     0.0100    0.0000
  1080        0.7609             nan     0.0100   -0.0001
  1100        0.7593             nan     0.0100   -0.0000

- Fold07.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3237             nan     0.0100    0.0037
     2        1.3162             nan     0.0100    0.0034
     3        1.3087             nan     0.0100    0.0037
     4        1.3016             nan     0.0100    0.0035
     5        1.2941             nan     0.0100    0.0036
     6        1.2877             nan     0.0100    0.0034
     7        1.2813             nan     0.0100    0.0035
     8        1.2745             nan     0.0100    0.0034
     9        1.2678             nan     0.0100    0.0031
    10        1.2614             nan     0.0100    0.0030
    20        1.2015             nan     0.0100    0.0028
    40        1.1101             nan     0.0100    0.0017
    60        1.0433             nan     0.0100    0.0013
    80        0.9927             nan     0.0100    0.0010
   100        0.9538             nan     0.0100    0.0008
   120        0.9242             nan     0.0100    0.0004
   140        0.8992             nan     0.0100    0.0004
   160        0.8792             nan     0.0100    0.0003
   180        0.8618             nan     0.0100    0.0004
   200        0.8475             nan     0.0100    0.0003
   220        0.8361             nan     0.0100    0.0001
   240        0.8252             nan     0.0100    0.0001
   260        0.8148             nan     0.0100    0.0001
   280        0.8060             nan     0.0100    0.0001
   300        0.7985             nan     0.0100    0.0000
   320        0.7913             nan     0.0100   -0.0001
   340        0.7849             nan     0.0100    0.0001
   360        0.7786             nan     0.0100    0.0000
   380        0.7726             nan     0.0100    0.0000
   400        0.7671             nan     0.0100    0.0000
   420        0.7621             nan     0.0100   -0.0000
   440        0.7574             nan     0.0100   -0.0002
   460        0.7528             nan     0.0100   -0.0001
   480        0.7489             nan     0.0100   -0.0001
   500        0.7449             nan     0.0100   -0.0002
   520        0.7408             nan     0.0100   -0.0000
   540        0.7375             nan     0.0100    0.0001
   560        0.7338             nan     0.0100    0.0000
   580        0.7301             nan     0.0100   -0.0001
   600        0.7268             nan     0.0100   -0.0000
   620        0.7235             nan     0.0100   -0.0001
   640        0.7202             nan     0.0100   -0.0000
   660        0.7175             nan     0.0100   -0.0001
   680        0.7149             nan     0.0100   -0.0000
   700        0.7121             nan     0.0100   -0.0001
   720        0.7096             nan     0.0100   -0.0000
   740        0.7073             nan     0.0100   -0.0001
   760        0.7047             nan     0.0100   -0.0001
   780        0.7025             nan     0.0100   -0.0001
   800        0.7002             nan     0.0100   -0.0002
   820        0.6982             nan     0.0100   -0.0000
   840        0.6957             nan     0.0100   -0.0001
   860        0.6938             nan     0.0100   -0.0001
   880        0.6916             nan     0.0100   -0.0000
   900        0.6897             nan     0.0100   -0.0000
   920        0.6875             nan     0.0100   -0.0001
   940        0.6859             nan     0.0100   -0.0001
   960        0.6839             nan     0.0100   -0.0001
   980        0.6819             nan     0.0100   -0.0001
  1000        0.6799             nan     0.0100   -0.0001
  1020        0.6778             nan     0.0100   -0.0001
  1040        0.6762             nan     0.0100   -0.0000
  1060        0.6744             nan     0.0100   -0.0001
  1080        0.6725             nan     0.0100   -0.0001
  1100        0.6705             nan     0.0100   -0.0001

- Fold07.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3234             nan     0.0100    0.0040
     2        1.3149             nan     0.0100    0.0045
     3        1.3070             nan     0.0100    0.0038
     4        1.2992             nan     0.0100    0.0036
     5        1.2914             nan     0.0100    0.0038
     6        1.2834             nan     0.0100    0.0039
     7        1.2756             nan     0.0100    0.0038
     8        1.2686             nan     0.0100    0.0037
     9        1.2611             nan     0.0100    0.0035
    10        1.2534             nan     0.0100    0.0034
    20        1.1886             nan     0.0100    0.0030
    40        1.0868             nan     0.0100    0.0021
    60        1.0141             nan     0.0100    0.0013
    80        0.9585             nan     0.0100    0.0011
   100        0.9177             nan     0.0100    0.0008
   120        0.8862             nan     0.0100    0.0005
   140        0.8603             nan     0.0100    0.0005
   160        0.8409             nan     0.0100    0.0003
   180        0.8241             nan     0.0100    0.0003
   200        0.8100             nan     0.0100    0.0002
   220        0.7974             nan     0.0100   -0.0000
   240        0.7859             nan     0.0100    0.0002
   260        0.7762             nan     0.0100   -0.0001
   280        0.7675             nan     0.0100   -0.0001
   300        0.7598             nan     0.0100   -0.0001
   320        0.7527             nan     0.0100   -0.0000
   340        0.7457             nan     0.0100   -0.0001
   360        0.7393             nan     0.0100   -0.0000
   380        0.7331             nan     0.0100   -0.0001
   400        0.7275             nan     0.0100   -0.0002
   420        0.7216             nan     0.0100    0.0001
   440        0.7159             nan     0.0100   -0.0000
   460        0.7103             nan     0.0100   -0.0001
   480        0.7059             nan     0.0100    0.0000
   500        0.7016             nan     0.0100   -0.0001
   520        0.6973             nan     0.0100   -0.0001
   540        0.6935             nan     0.0100   -0.0001
   560        0.6896             nan     0.0100   -0.0000
   580        0.6858             nan     0.0100   -0.0001
   600        0.6821             nan     0.0100   -0.0001
   620        0.6786             nan     0.0100   -0.0002
   640        0.6754             nan     0.0100   -0.0001
   660        0.6721             nan     0.0100   -0.0001
   680        0.6690             nan     0.0100   -0.0002
   700        0.6658             nan     0.0100   -0.0001
   720        0.6631             nan     0.0100   -0.0001
   740        0.6604             nan     0.0100   -0.0001
   760        0.6572             nan     0.0100   -0.0001
   780        0.6541             nan     0.0100   -0.0002
   800        0.6511             nan     0.0100   -0.0003
   820        0.6479             nan     0.0100   -0.0001
   840        0.6447             nan     0.0100   -0.0001
   860        0.6419             nan     0.0100   -0.0001
   880        0.6392             nan     0.0100   -0.0001
   900        0.6368             nan     0.0100   -0.0001
   920        0.6338             nan     0.0100   -0.0001
   940        0.6313             nan     0.0100   -0.0003
   960        0.6291             nan     0.0100   -0.0001
   980        0.6271             nan     0.0100   -0.0002
  1000        0.6247             nan     0.0100   -0.0002
  1020        0.6226             nan     0.0100   -0.0002
  1040        0.6201             nan     0.0100   -0.0001
  1060        0.6176             nan     0.0100   -0.0001
  1080        0.6150             nan     0.0100   -0.0001
  1100        0.6125             nan     0.0100   -0.0001

- Fold07.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2666             nan     0.1000    0.0291
     2        1.2229             nan     0.1000    0.0242
     3        1.1829             nan     0.1000    0.0198
     4        1.1525             nan     0.1000    0.0166
     5        1.1244             nan     0.1000    0.0135
     6        1.1008             nan     0.1000    0.0114
     7        1.0806             nan     0.1000    0.0091
     8        1.0609             nan     0.1000    0.0080
     9        1.0461             nan     0.1000    0.0067
    10        1.0334             nan     0.1000    0.0055
    20        0.9362             nan     0.1000    0.0023
    40        0.8524             nan     0.1000    0.0003
    60        0.8098             nan     0.1000    0.0001
    80        0.7845             nan     0.1000   -0.0004
   100        0.7670             nan     0.1000   -0.0008
   120        0.7548             nan     0.1000   -0.0007
   140        0.7444             nan     0.1000   -0.0009
   160        0.7344             nan     0.1000   -0.0008
   180        0.7271             nan     0.1000   -0.0005
   200        0.7211             nan     0.1000   -0.0007
   220        0.7144             nan     0.1000   -0.0005
   240        0.7085             nan     0.1000   -0.0004
   260        0.7046             nan     0.1000   -0.0005
   280        0.7014             nan     0.1000   -0.0010
   300        0.6972             nan     0.1000   -0.0014
   320        0.6909             nan     0.1000   -0.0002
   340        0.6880             nan     0.1000   -0.0004
   360        0.6855             nan     0.1000   -0.0005
   380        0.6826             nan     0.1000   -0.0004
   400        0.6803             nan     0.1000   -0.0010
   420        0.6777             nan     0.1000   -0.0009
   440        0.6756             nan     0.1000   -0.0003
   460        0.6739             nan     0.1000   -0.0007
   480        0.6700             nan     0.1000   -0.0002
   500        0.6682             nan     0.1000   -0.0012
   520        0.6658             nan     0.1000   -0.0011
   540        0.6633             nan     0.1000   -0.0010
   560        0.6607             nan     0.1000   -0.0005
   580        0.6586             nan     0.1000   -0.0014
   600        0.6563             nan     0.1000   -0.0009
   620        0.6553             nan     0.1000   -0.0009
   640        0.6522             nan     0.1000   -0.0006
   660        0.6505             nan     0.1000   -0.0003
   680        0.6487             nan     0.1000   -0.0003
   700        0.6466             nan     0.1000   -0.0004
   720        0.6439             nan     0.1000   -0.0008
   740        0.6415             nan     0.1000   -0.0005
   760        0.6395             nan     0.1000   -0.0007
   780        0.6384             nan     0.1000   -0.0014
   800        0.6358             nan     0.1000   -0.0005
   820        0.6339             nan     0.1000   -0.0006
   840        0.6320             nan     0.1000   -0.0001
   860        0.6308             nan     0.1000   -0.0015
   880        0.6301             nan     0.1000   -0.0011
   900        0.6283             nan     0.1000   -0.0006
   920        0.6273             nan     0.1000   -0.0005
   940        0.6268             nan     0.1000   -0.0015
   960        0.6254             nan     0.1000   -0.0004
   980        0.6238             nan     0.1000   -0.0011
  1000        0.6232             nan     0.1000   -0.0004
  1020        0.6215             nan     0.1000   -0.0010
  1040        0.6209             nan     0.1000   -0.0004
  1060        0.6201             nan     0.1000   -0.0009
  1080        0.6192             nan     0.1000   -0.0008
  1100        0.6184             nan     0.1000   -0.0007

- Fold07.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2543             nan     0.1000    0.0366
     2        1.1905             nan     0.1000    0.0310
     3        1.1441             nan     0.1000    0.0216
     4        1.1024             nan     0.1000    0.0200
     5        1.0670             nan     0.1000    0.0172
     6        1.0335             nan     0.1000    0.0158
     7        1.0063             nan     0.1000    0.0123
     8        0.9828             nan     0.1000    0.0104
     9        0.9637             nan     0.1000    0.0082
    10        0.9461             nan     0.1000    0.0091
    20        0.8474             nan     0.1000    0.0019
    40        0.7676             nan     0.1000    0.0001
    60        0.7265             nan     0.1000    0.0005
    80        0.7036             nan     0.1000   -0.0010
   100        0.6826             nan     0.1000   -0.0002
   120        0.6630             nan     0.1000   -0.0006
   140        0.6492             nan     0.1000   -0.0012
   160        0.6348             nan     0.1000   -0.0015
   180        0.6239             nan     0.1000   -0.0003
   200        0.6129             nan     0.1000   -0.0012
   220        0.6009             nan     0.1000   -0.0012
   240        0.5907             nan     0.1000   -0.0004
   260        0.5817             nan     0.1000   -0.0009
   280        0.5730             nan     0.1000   -0.0012
   300        0.5644             nan     0.1000   -0.0012
   320        0.5579             nan     0.1000   -0.0017
   340        0.5504             nan     0.1000   -0.0010
   360        0.5446             nan     0.1000   -0.0012
   380        0.5373             nan     0.1000   -0.0009
   400        0.5292             nan     0.1000   -0.0011
   420        0.5232             nan     0.1000   -0.0023
   440        0.5160             nan     0.1000   -0.0013
   460        0.5077             nan     0.1000   -0.0003
   480        0.5012             nan     0.1000   -0.0012
   500        0.4945             nan     0.1000   -0.0008
   520        0.4916             nan     0.1000   -0.0014
   540        0.4864             nan     0.1000   -0.0008
   560        0.4790             nan     0.1000   -0.0007
   580        0.4751             nan     0.1000   -0.0010
   600        0.4714             nan     0.1000   -0.0006
   620        0.4652             nan     0.1000   -0.0008
   640        0.4628             nan     0.1000   -0.0014
   660        0.4567             nan     0.1000   -0.0007
   680        0.4514             nan     0.1000   -0.0019
   700        0.4469             nan     0.1000   -0.0012
   720        0.4409             nan     0.1000   -0.0008
   740        0.4374             nan     0.1000   -0.0008
   760        0.4319             nan     0.1000   -0.0007
   780        0.4283             nan     0.1000   -0.0009
   800        0.4248             nan     0.1000   -0.0006
   820        0.4211             nan     0.1000   -0.0014
   840        0.4167             nan     0.1000   -0.0010
   860        0.4122             nan     0.1000   -0.0003
   880        0.4100             nan     0.1000   -0.0007
   900        0.4076             nan     0.1000   -0.0008
   920        0.4023             nan     0.1000   -0.0008
   940        0.3992             nan     0.1000   -0.0019
   960        0.3953             nan     0.1000   -0.0010
   980        0.3906             nan     0.1000   -0.0004
  1000        0.3881             nan     0.1000   -0.0013
  1020        0.3861             nan     0.1000   -0.0015
  1040        0.3842             nan     0.1000   -0.0007
  1060        0.3815             nan     0.1000   -0.0006
  1080        0.3771             nan     0.1000   -0.0009
  1100        0.3743             nan     0.1000   -0.0007

- Fold07.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2508             nan     0.1000    0.0398
     2        1.1812             nan     0.1000    0.0296
     3        1.1247             nan     0.1000    0.0270
     4        1.0767             nan     0.1000    0.0223
     5        1.0328             nan     0.1000    0.0190
     6        0.9981             nan     0.1000    0.0156
     7        0.9701             nan     0.1000    0.0130
     8        0.9458             nan     0.1000    0.0117
     9        0.9262             nan     0.1000    0.0087
    10        0.9082             nan     0.1000    0.0070
    20        0.8034             nan     0.1000    0.0011
    40        0.7265             nan     0.1000    0.0000
    60        0.6878             nan     0.1000   -0.0003
    80        0.6548             nan     0.1000   -0.0005
   100        0.6289             nan     0.1000   -0.0009
   120        0.6088             nan     0.1000   -0.0016
   140        0.5867             nan     0.1000   -0.0009
   160        0.5715             nan     0.1000   -0.0014
   180        0.5553             nan     0.1000   -0.0003
   200        0.5400             nan     0.1000   -0.0018
   220        0.5230             nan     0.1000   -0.0016
   240        0.5116             nan     0.1000   -0.0011
   260        0.4987             nan     0.1000   -0.0005
   280        0.4876             nan     0.1000   -0.0015
   300        0.4768             nan     0.1000   -0.0002
   320        0.4664             nan     0.1000   -0.0015
   340        0.4576             nan     0.1000   -0.0010
   360        0.4480             nan     0.1000   -0.0014
   380        0.4387             nan     0.1000   -0.0016
   400        0.4272             nan     0.1000   -0.0010
   420        0.4178             nan     0.1000   -0.0010
   440        0.4115             nan     0.1000   -0.0014
   460        0.4032             nan     0.1000   -0.0023
   480        0.3962             nan     0.1000   -0.0017
   500        0.3872             nan     0.1000   -0.0008
   520        0.3830             nan     0.1000   -0.0012
   540        0.3790             nan     0.1000   -0.0004
   560        0.3706             nan     0.1000   -0.0010
   580        0.3629             nan     0.1000   -0.0010
   600        0.3563             nan     0.1000   -0.0015
   620        0.3514             nan     0.1000   -0.0007
   640        0.3437             nan     0.1000   -0.0011
   660        0.3393             nan     0.1000   -0.0011
   680        0.3342             nan     0.1000   -0.0003
   700        0.3284             nan     0.1000   -0.0004
   720        0.3255             nan     0.1000   -0.0013
   740        0.3219             nan     0.1000   -0.0007
   760        0.3173             nan     0.1000   -0.0011
   780        0.3128             nan     0.1000   -0.0017
   800        0.3086             nan     0.1000   -0.0005
   820        0.3037             nan     0.1000   -0.0009
   840        0.2987             nan     0.1000   -0.0010
   860        0.2960             nan     0.1000   -0.0012
   880        0.2912             nan     0.1000   -0.0020
   900        0.2862             nan     0.1000   -0.0009
   920        0.2821             nan     0.1000   -0.0009
   940        0.2788             nan     0.1000   -0.0010
   960        0.2736             nan     0.1000   -0.0007
   980        0.2712             nan     0.1000   -0.0008
  1000        0.2681             nan     0.1000   -0.0007
  1020        0.2646             nan     0.1000   -0.0010
  1040        0.2601             nan     0.1000   -0.0006
  1060        0.2567             nan     0.1000   -0.0005
  1080        0.2542             nan     0.1000   -0.0015
  1100        0.2508             nan     0.1000   -0.0008

- Fold07.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3259             nan     0.0100    0.0027
     2        1.3205             nan     0.0100    0.0028
     3        1.3146             nan     0.0100    0.0026
     4        1.3089             nan     0.0100    0.0028
     5        1.3036             nan     0.0100    0.0027
     6        1.2984             nan     0.0100    0.0025
     7        1.2927             nan     0.0100    0.0027
     8        1.2871             nan     0.0100    0.0026
     9        1.2820             nan     0.0100    0.0024
    10        1.2766             nan     0.0100    0.0024
    20        1.2339             nan     0.0100    0.0020
    40        1.1671             nan     0.0100    0.0008
    60        1.1167             nan     0.0100    0.0009
    80        1.0814             nan     0.0100    0.0006
   100        1.0528             nan     0.0100    0.0004
   120        1.0276             nan     0.0100    0.0005
   140        1.0069             nan     0.0100    0.0004
   160        0.9899             nan     0.0100    0.0003
   180        0.9756             nan     0.0100    0.0003
   200        0.9633             nan     0.0100    0.0003
   220        0.9516             nan     0.0100    0.0001
   240        0.9415             nan     0.0100    0.0002
   260        0.9331             nan     0.0100    0.0002
   280        0.9251             nan     0.0100    0.0002
   300        0.9176             nan     0.0100   -0.0000
   320        0.9109             nan     0.0100    0.0001
   340        0.9054             nan     0.0100    0.0001
   360        0.8996             nan     0.0100    0.0001
   380        0.8945             nan     0.0100   -0.0001
   400        0.8896             nan     0.0100    0.0001
   420        0.8848             nan     0.0100    0.0000
   440        0.8803             nan     0.0100    0.0000
   460        0.8760             nan     0.0100    0.0000
   480        0.8722             nan     0.0100    0.0001
   500        0.8684             nan     0.0100   -0.0000
   520        0.8646             nan     0.0100    0.0000
   540        0.8608             nan     0.0100    0.0000
   560        0.8571             nan     0.0100   -0.0001
   580        0.8541             nan     0.0100   -0.0000
   600        0.8509             nan     0.0100    0.0000
   620        0.8479             nan     0.0100    0.0000
   640        0.8449             nan     0.0100   -0.0000
   660        0.8421             nan     0.0100   -0.0000
   680        0.8397             nan     0.0100   -0.0000
   700        0.8373             nan     0.0100   -0.0000
   720        0.8348             nan     0.0100   -0.0002
   740        0.8325             nan     0.0100    0.0000
   760        0.8303             nan     0.0100    0.0000
   780        0.8282             nan     0.0100    0.0000
   800        0.8261             nan     0.0100   -0.0002
   820        0.8240             nan     0.0100   -0.0000
   840        0.8220             nan     0.0100   -0.0001
   860        0.8201             nan     0.0100    0.0000
   880        0.8183             nan     0.0100   -0.0001
   900        0.8163             nan     0.0100    0.0000
   920        0.8147             nan     0.0100   -0.0001
   940        0.8130             nan     0.0100   -0.0000
   960        0.8114             nan     0.0100   -0.0001
   980        0.8098             nan     0.0100   -0.0000
  1000        0.8084             nan     0.0100   -0.0001
  1020        0.8067             nan     0.0100   -0.0000
  1040        0.8054             nan     0.0100   -0.0000
  1060        0.8040             nan     0.0100   -0.0000
  1080        0.8024             nan     0.0100   -0.0000
  1100        0.8012             nan     0.0100   -0.0001

- Fold08.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3249             nan     0.0100    0.0034
     2        1.3181             nan     0.0100    0.0033
     3        1.3111             nan     0.0100    0.0030
     4        1.3047             nan     0.0100    0.0033
     5        1.2984             nan     0.0100    0.0033
     6        1.2917             nan     0.0100    0.0032
     7        1.2857             nan     0.0100    0.0030
     8        1.2795             nan     0.0100    0.0029
     9        1.2733             nan     0.0100    0.0030
    10        1.2672             nan     0.0100    0.0029
    20        1.2113             nan     0.0100    0.0024
    40        1.1277             nan     0.0100    0.0018
    60        1.0651             nan     0.0100    0.0013
    80        1.0186             nan     0.0100    0.0010
   100        0.9818             nan     0.0100    0.0003
   120        0.9554             nan     0.0100    0.0003
   140        0.9333             nan     0.0100    0.0004
   160        0.9151             nan     0.0100    0.0002
   180        0.9006             nan     0.0100    0.0003
   200        0.8858             nan     0.0100    0.0002
   220        0.8744             nan     0.0100    0.0001
   240        0.8642             nan     0.0100    0.0000
   260        0.8547             nan     0.0100    0.0001
   280        0.8465             nan     0.0100    0.0000
   300        0.8392             nan     0.0100    0.0001
   320        0.8324             nan     0.0100   -0.0000
   340        0.8262             nan     0.0100    0.0000
   360        0.8200             nan     0.0100   -0.0001
   380        0.8144             nan     0.0100    0.0001
   400        0.8096             nan     0.0100    0.0000
   420        0.8042             nan     0.0100   -0.0000
   440        0.7995             nan     0.0100   -0.0001
   460        0.7956             nan     0.0100   -0.0001
   480        0.7913             nan     0.0100   -0.0001
   500        0.7872             nan     0.0100   -0.0000
   520        0.7834             nan     0.0100    0.0000
   540        0.7798             nan     0.0100   -0.0000
   560        0.7762             nan     0.0100   -0.0000
   580        0.7731             nan     0.0100   -0.0001
   600        0.7694             nan     0.0100   -0.0000
   620        0.7661             nan     0.0100   -0.0001
   640        0.7629             nan     0.0100   -0.0000
   660        0.7600             nan     0.0100   -0.0000
   680        0.7569             nan     0.0100   -0.0001
   700        0.7541             nan     0.0100   -0.0000
   720        0.7510             nan     0.0100   -0.0001
   740        0.7483             nan     0.0100   -0.0001
   760        0.7461             nan     0.0100   -0.0001
   780        0.7441             nan     0.0100   -0.0001
   800        0.7420             nan     0.0100   -0.0001
   820        0.7395             nan     0.0100   -0.0001
   840        0.7369             nan     0.0100   -0.0000
   860        0.7341             nan     0.0100   -0.0001
   880        0.7319             nan     0.0100   -0.0001
   900        0.7297             nan     0.0100   -0.0001
   920        0.7280             nan     0.0100   -0.0001
   940        0.7258             nan     0.0100   -0.0001
   960        0.7235             nan     0.0100   -0.0001
   980        0.7217             nan     0.0100   -0.0001
  1000        0.7197             nan     0.0100   -0.0001
  1020        0.7177             nan     0.0100   -0.0001
  1040        0.7161             nan     0.0100   -0.0001
  1060        0.7143             nan     0.0100   -0.0001
  1080        0.7123             nan     0.0100   -0.0000
  1100        0.7109             nan     0.0100   -0.0001

- Fold08.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3243             nan     0.0100    0.0038
     2        1.3167             nan     0.0100    0.0036
     3        1.3089             nan     0.0100    0.0039
     4        1.3019             nan     0.0100    0.0036
     5        1.2953             nan     0.0100    0.0032
     6        1.2881             nan     0.0100    0.0033
     7        1.2809             nan     0.0100    0.0032
     8        1.2739             nan     0.0100    0.0035
     9        1.2671             nan     0.0100    0.0032
    10        1.2603             nan     0.0100    0.0032
    20        1.1998             nan     0.0100    0.0024
    40        1.1049             nan     0.0100    0.0021
    60        1.0378             nan     0.0100    0.0014
    80        0.9866             nan     0.0100    0.0009
   100        0.9490             nan     0.0100    0.0005
   120        0.9199             nan     0.0100    0.0005
   140        0.8960             nan     0.0100    0.0005
   160        0.8775             nan     0.0100    0.0002
   180        0.8616             nan     0.0100    0.0003
   200        0.8479             nan     0.0100    0.0001
   220        0.8353             nan     0.0100    0.0001
   240        0.8243             nan     0.0100   -0.0000
   260        0.8149             nan     0.0100   -0.0000
   280        0.8064             nan     0.0100    0.0000
   300        0.7981             nan     0.0100    0.0000
   320        0.7905             nan     0.0100   -0.0000
   340        0.7839             nan     0.0100   -0.0001
   360        0.7778             nan     0.0100   -0.0001
   380        0.7718             nan     0.0100   -0.0001
   400        0.7663             nan     0.0100   -0.0001
   420        0.7610             nan     0.0100   -0.0000
   440        0.7557             nan     0.0100   -0.0000
   460        0.7505             nan     0.0100   -0.0000
   480        0.7458             nan     0.0100   -0.0000
   500        0.7406             nan     0.0100   -0.0000
   520        0.7364             nan     0.0100   -0.0000
   540        0.7322             nan     0.0100   -0.0002
   560        0.7277             nan     0.0100   -0.0001
   580        0.7243             nan     0.0100   -0.0001
   600        0.7209             nan     0.0100   -0.0001
   620        0.7172             nan     0.0100    0.0000
   640        0.7137             nan     0.0100   -0.0001
   660        0.7097             nan     0.0100   -0.0001
   680        0.7060             nan     0.0100   -0.0001
   700        0.7025             nan     0.0100   -0.0001
   720        0.6995             nan     0.0100   -0.0001
   740        0.6962             nan     0.0100   -0.0001
   760        0.6930             nan     0.0100   -0.0002
   780        0.6899             nan     0.0100   -0.0001
   800        0.6870             nan     0.0100   -0.0001
   820        0.6838             nan     0.0100   -0.0001
   840        0.6805             nan     0.0100   -0.0002
   860        0.6776             nan     0.0100   -0.0000
   880        0.6749             nan     0.0100   -0.0001
   900        0.6718             nan     0.0100   -0.0000
   920        0.6693             nan     0.0100   -0.0000
   940        0.6667             nan     0.0100   -0.0001
   960        0.6638             nan     0.0100   -0.0001
   980        0.6612             nan     0.0100   -0.0000
  1000        0.6588             nan     0.0100   -0.0000
  1020        0.6563             nan     0.0100   -0.0000
  1040        0.6538             nan     0.0100   -0.0001
  1060        0.6521             nan     0.0100   -0.0002
  1080        0.6492             nan     0.0100    0.0001
  1100        0.6466             nan     0.0100   -0.0002

- Fold08.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2749             nan     0.1000    0.0278
     2        1.2317             nan     0.1000    0.0227
     3        1.2004             nan     0.1000    0.0182
     4        1.1667             nan     0.1000    0.0162
     5        1.1385             nan     0.1000    0.0125
     6        1.1161             nan     0.1000    0.0108
     7        1.0981             nan     0.1000    0.0091
     8        1.0840             nan     0.1000    0.0078
     9        1.0684             nan     0.1000    0.0069
    10        1.0544             nan     0.1000    0.0060
    20        0.9618             nan     0.1000    0.0010
    40        0.8867             nan     0.1000   -0.0000
    60        0.8488             nan     0.1000   -0.0003
    80        0.8261             nan     0.1000    0.0001
   100        0.8095             nan     0.1000   -0.0007
   120        0.7985             nan     0.1000   -0.0005
   140        0.7869             nan     0.1000   -0.0015
   160        0.7789             nan     0.1000   -0.0009
   180        0.7719             nan     0.1000   -0.0015
   200        0.7641             nan     0.1000   -0.0004
   220        0.7578             nan     0.1000   -0.0009
   240        0.7519             nan     0.1000   -0.0013
   260        0.7468             nan     0.1000    0.0000
   280        0.7427             nan     0.1000   -0.0008
   300        0.7387             nan     0.1000   -0.0010
   320        0.7340             nan     0.1000   -0.0008
   340        0.7308             nan     0.1000   -0.0006
   360        0.7263             nan     0.1000   -0.0007
   380        0.7230             nan     0.1000   -0.0006
   400        0.7198             nan     0.1000   -0.0004
   420        0.7168             nan     0.1000   -0.0004
   440        0.7127             nan     0.1000   -0.0004
   460        0.7100             nan     0.1000   -0.0004
   480        0.7067             nan     0.1000   -0.0006
   500        0.7055             nan     0.1000   -0.0007
   520        0.7030             nan     0.1000   -0.0008
   540        0.6996             nan     0.1000   -0.0009
   560        0.6969             nan     0.1000   -0.0008
   580        0.6940             nan     0.1000   -0.0003
   600        0.6905             nan     0.1000   -0.0009
   620        0.6885             nan     0.1000   -0.0006
   640        0.6868             nan     0.1000   -0.0004
   660        0.6845             nan     0.1000   -0.0003
   680        0.6829             nan     0.1000   -0.0008
   700        0.6810             nan     0.1000   -0.0009
   720        0.6796             nan     0.1000   -0.0008
   740        0.6790             nan     0.1000   -0.0005
   760        0.6772             nan     0.1000   -0.0006
   780        0.6746             nan     0.1000   -0.0009
   800        0.6732             nan     0.1000   -0.0007
   820        0.6714             nan     0.1000   -0.0010
   840        0.6694             nan     0.1000   -0.0007
   860        0.6668             nan     0.1000   -0.0008
   880        0.6651             nan     0.1000   -0.0004
   900        0.6636             nan     0.1000   -0.0008
   920        0.6624             nan     0.1000   -0.0008
   940        0.6599             nan     0.1000   -0.0008
   960        0.6582             nan     0.1000   -0.0004
   980        0.6567             nan     0.1000   -0.0003
  1000        0.6555             nan     0.1000   -0.0007
  1020        0.6546             nan     0.1000   -0.0010
  1040        0.6515             nan     0.1000   -0.0002
  1060        0.6520             nan     0.1000   -0.0008
  1080        0.6503             nan     0.1000   -0.0014
  1100        0.6491             nan     0.1000   -0.0006

- Fold08.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2651             nan     0.1000    0.0335
     2        1.2074             nan     0.1000    0.0287
     3        1.1628             nan     0.1000    0.0217
     4        1.1244             nan     0.1000    0.0192
     5        1.0921             nan     0.1000    0.0162
     6        1.0608             nan     0.1000    0.0141
     7        1.0330             nan     0.1000    0.0117
     8        1.0131             nan     0.1000    0.0093
     9        0.9941             nan     0.1000    0.0078
    10        0.9782             nan     0.1000    0.0057
    20        0.8917             nan     0.1000   -0.0004
    40        0.8101             nan     0.1000    0.0006
    60        0.7703             nan     0.1000    0.0005
    80        0.7414             nan     0.1000   -0.0003
   100        0.7225             nan     0.1000   -0.0003
   120        0.7084             nan     0.1000   -0.0011
   140        0.6934             nan     0.1000    0.0006
   160        0.6784             nan     0.1000   -0.0011
   180        0.6625             nan     0.1000   -0.0010
   200        0.6506             nan     0.1000   -0.0014
   220        0.6382             nan     0.1000   -0.0003
   240        0.6263             nan     0.1000   -0.0005
   260        0.6161             nan     0.1000   -0.0015
   280        0.6050             nan     0.1000   -0.0006
   300        0.5912             nan     0.1000   -0.0008
   320        0.5816             nan     0.1000   -0.0010
   340        0.5743             nan     0.1000   -0.0002
   360        0.5658             nan     0.1000   -0.0007
   380        0.5576             nan     0.1000   -0.0013
   400        0.5497             nan     0.1000   -0.0005
   420        0.5415             nan     0.1000   -0.0006
   440        0.5354             nan     0.1000   -0.0011
   460        0.5265             nan     0.1000   -0.0009
   480        0.5235             nan     0.1000   -0.0023
   500        0.5199             nan     0.1000   -0.0008
   520        0.5142             nan     0.1000   -0.0012
   540        0.5092             nan     0.1000   -0.0007
   560        0.5027             nan     0.1000   -0.0008
   580        0.4967             nan     0.1000   -0.0011
   600        0.4904             nan     0.1000   -0.0013
   620        0.4855             nan     0.1000   -0.0009
   640        0.4780             nan     0.1000   -0.0010
   660        0.4720             nan     0.1000   -0.0007
   680        0.4667             nan     0.1000   -0.0004
   700        0.4608             nan     0.1000   -0.0011
   720        0.4558             nan     0.1000   -0.0009
   740        0.4526             nan     0.1000   -0.0014
   760        0.4472             nan     0.1000   -0.0016
   780        0.4435             nan     0.1000   -0.0006
   800        0.4400             nan     0.1000   -0.0008
   820        0.4342             nan     0.1000   -0.0004
   840        0.4300             nan     0.1000   -0.0003
   860        0.4274             nan     0.1000   -0.0008
   880        0.4227             nan     0.1000   -0.0007
   900        0.4195             nan     0.1000   -0.0006
   920        0.4153             nan     0.1000   -0.0006
   940        0.4118             nan     0.1000   -0.0008
   960        0.4071             nan     0.1000   -0.0007
   980        0.4031             nan     0.1000   -0.0009
  1000        0.4011             nan     0.1000   -0.0005
  1020        0.3983             nan     0.1000   -0.0010
  1040        0.3936             nan     0.1000   -0.0013
  1060        0.3910             nan     0.1000   -0.0010
  1080        0.3861             nan     0.1000   -0.0007
  1100        0.3818             nan     0.1000   -0.0006

- Fold08.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2531             nan     0.1000    0.0359
     2        1.1865             nan     0.1000    0.0288
     3        1.1348             nan     0.1000    0.0244
     4        1.0943             nan     0.1000    0.0205
     5        1.0586             nan     0.1000    0.0167
     6        1.0272             nan     0.1000    0.0144
     7        0.9995             nan     0.1000    0.0130
     8        0.9772             nan     0.1000    0.0101
     9        0.9562             nan     0.1000    0.0068
    10        0.9406             nan     0.1000    0.0068
    20        0.8476             nan     0.1000    0.0019
    40        0.7736             nan     0.1000   -0.0009
    60        0.7218             nan     0.1000   -0.0015
    80        0.6909             nan     0.1000   -0.0018
   100        0.6632             nan     0.1000   -0.0017
   120        0.6395             nan     0.1000   -0.0007
   140        0.6187             nan     0.1000   -0.0015
   160        0.5976             nan     0.1000   -0.0025
   180        0.5744             nan     0.1000   -0.0009
   200        0.5592             nan     0.1000   -0.0005
   220        0.5441             nan     0.1000   -0.0009
   240        0.5310             nan     0.1000   -0.0008
   260        0.5183             nan     0.1000   -0.0016
   280        0.5053             nan     0.1000   -0.0012
   300        0.4931             nan     0.1000   -0.0011
   320        0.4824             nan     0.1000   -0.0006
   340        0.4722             nan     0.1000   -0.0004
   360        0.4597             nan     0.1000   -0.0016
   380        0.4508             nan     0.1000   -0.0024
   400        0.4406             nan     0.1000   -0.0006
   420        0.4312             nan     0.1000   -0.0018
   440        0.4217             nan     0.1000   -0.0010
   460        0.4136             nan     0.1000   -0.0010
   480        0.4062             nan     0.1000   -0.0011
   500        0.3981             nan     0.1000   -0.0012
   520        0.3891             nan     0.1000   -0.0006
   540        0.3815             nan     0.1000   -0.0005
   560        0.3751             nan     0.1000   -0.0005
   580        0.3681             nan     0.1000   -0.0011
   600        0.3630             nan     0.1000   -0.0008
   620        0.3580             nan     0.1000   -0.0011
   640        0.3513             nan     0.1000   -0.0007
   660        0.3471             nan     0.1000   -0.0004
   680        0.3412             nan     0.1000   -0.0006
   700        0.3333             nan     0.1000   -0.0008
   720        0.3307             nan     0.1000   -0.0004
   740        0.3258             nan     0.1000   -0.0007
   760        0.3222             nan     0.1000   -0.0021
   780        0.3174             nan     0.1000   -0.0004
   800        0.3127             nan     0.1000   -0.0006
   820        0.3086             nan     0.1000   -0.0014
   840        0.3047             nan     0.1000   -0.0007
   860        0.3010             nan     0.1000   -0.0010
   880        0.2975             nan     0.1000   -0.0009
   900        0.2932             nan     0.1000   -0.0011
   920        0.2891             nan     0.1000   -0.0011
   940        0.2848             nan     0.1000   -0.0012
   960        0.2816             nan     0.1000   -0.0014
   980        0.2778             nan     0.1000   -0.0007
  1000        0.2740             nan     0.1000   -0.0007
  1020        0.2710             nan     0.1000   -0.0012
  1040        0.2686             nan     0.1000   -0.0008
  1060        0.2632             nan     0.1000   -0.0009
  1080        0.2604             nan     0.1000   -0.0007
  1100        0.2573             nan     0.1000   -0.0006

- Fold08.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3251             nan     0.0100    0.0030
     2        1.3187             nan     0.0100    0.0030
     3        1.3128             nan     0.0100    0.0030
     4        1.3068             nan     0.0100    0.0028
     5        1.3014             nan     0.0100    0.0027
     6        1.2956             nan     0.0100    0.0027
     7        1.2897             nan     0.0100    0.0026
     8        1.2844             nan     0.0100    0.0027
     9        1.2790             nan     0.0100    0.0025
    10        1.2741             nan     0.0100    0.0025
    20        1.2272             nan     0.0100    0.0020
    40        1.1558             nan     0.0100    0.0015
    60        1.1076             nan     0.0100    0.0011
    80        1.0704             nan     0.0100    0.0007
   100        1.0406             nan     0.0100    0.0006
   120        1.0158             nan     0.0100    0.0005
   140        0.9952             nan     0.0100    0.0003
   160        0.9776             nan     0.0100    0.0003
   180        0.9630             nan     0.0100    0.0003
   200        0.9498             nan     0.0100    0.0003
   220        0.9384             nan     0.0100    0.0001
   240        0.9276             nan     0.0100    0.0002
   260        0.9180             nan     0.0100    0.0001
   280        0.9097             nan     0.0100    0.0001
   300        0.9018             nan     0.0100    0.0001
   320        0.8948             nan     0.0100    0.0002
   340        0.8886             nan     0.0100   -0.0001
   360        0.8826             nan     0.0100    0.0001
   380        0.8769             nan     0.0100    0.0000
   400        0.8713             nan     0.0100    0.0000
   420        0.8663             nan     0.0100    0.0000
   440        0.8615             nan     0.0100    0.0000
   460        0.8571             nan     0.0100    0.0001
   480        0.8531             nan     0.0100   -0.0000
   500        0.8494             nan     0.0100   -0.0001
   520        0.8458             nan     0.0100   -0.0001
   540        0.8426             nan     0.0100    0.0000
   560        0.8392             nan     0.0100    0.0000
   580        0.8361             nan     0.0100    0.0000
   600        0.8331             nan     0.0100    0.0000
   620        0.8302             nan     0.0100    0.0000
   640        0.8275             nan     0.0100    0.0000
   660        0.8249             nan     0.0100   -0.0000
   680        0.8224             nan     0.0100   -0.0000
   700        0.8200             nan     0.0100   -0.0000
   720        0.8177             nan     0.0100    0.0000
   740        0.8153             nan     0.0100    0.0000
   760        0.8133             nan     0.0100   -0.0000
   780        0.8110             nan     0.0100    0.0000
   800        0.8093             nan     0.0100   -0.0000
   820        0.8073             nan     0.0100   -0.0001
   840        0.8055             nan     0.0100   -0.0000
   860        0.8038             nan     0.0100   -0.0000
   880        0.8018             nan     0.0100   -0.0001
   900        0.8001             nan     0.0100    0.0000
   920        0.7984             nan     0.0100   -0.0001
   940        0.7970             nan     0.0100   -0.0000
   960        0.7954             nan     0.0100   -0.0000
   980        0.7943             nan     0.0100   -0.0001
  1000        0.7928             nan     0.0100   -0.0000
  1020        0.7914             nan     0.0100   -0.0000
  1040        0.7899             nan     0.0100   -0.0000
  1060        0.7884             nan     0.0100   -0.0000
  1080        0.7870             nan     0.0100    0.0000
  1100        0.7858             nan     0.0100   -0.0000

- Fold09.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3244             nan     0.0100    0.0037
     2        1.3165             nan     0.0100    0.0037
     3        1.3092             nan     0.0100    0.0035
     4        1.3019             nan     0.0100    0.0033
     5        1.2943             nan     0.0100    0.0035
     6        1.2875             nan     0.0100    0.0034
     7        1.2806             nan     0.0100    0.0034
     8        1.2739             nan     0.0100    0.0031
     9        1.2674             nan     0.0100    0.0031
    10        1.2608             nan     0.0100    0.0031
    20        1.2022             nan     0.0100    0.0026
    40        1.1118             nan     0.0100    0.0017
    60        1.0468             nan     0.0100    0.0014
    80        0.9989             nan     0.0100    0.0009
   100        0.9637             nan     0.0100    0.0005
   120        0.9340             nan     0.0100    0.0005
   140        0.9099             nan     0.0100    0.0004
   160        0.8911             nan     0.0100    0.0002
   180        0.8752             nan     0.0100    0.0002
   200        0.8623             nan     0.0100    0.0001
   220        0.8507             nan     0.0100   -0.0000
   240        0.8408             nan     0.0100    0.0000
   260        0.8311             nan     0.0100    0.0001
   280        0.8230             nan     0.0100   -0.0000
   300        0.8162             nan     0.0100   -0.0000
   320        0.8093             nan     0.0100    0.0000
   340        0.8029             nan     0.0100   -0.0000
   360        0.7971             nan     0.0100    0.0001
   380        0.7916             nan     0.0100   -0.0000
   400        0.7867             nan     0.0100   -0.0000
   420        0.7827             nan     0.0100   -0.0001
   440        0.7782             nan     0.0100    0.0000
   460        0.7741             nan     0.0100   -0.0001
   480        0.7704             nan     0.0100   -0.0001
   500        0.7668             nan     0.0100   -0.0001
   520        0.7634             nan     0.0100   -0.0001
   540        0.7599             nan     0.0100   -0.0001
   560        0.7568             nan     0.0100   -0.0001
   580        0.7537             nan     0.0100   -0.0001
   600        0.7512             nan     0.0100   -0.0001
   620        0.7479             nan     0.0100   -0.0000
   640        0.7452             nan     0.0100   -0.0001
   660        0.7424             nan     0.0100   -0.0001
   680        0.7396             nan     0.0100   -0.0000
   700        0.7374             nan     0.0100   -0.0002
   720        0.7351             nan     0.0100   -0.0001
   740        0.7328             nan     0.0100   -0.0000
   760        0.7307             nan     0.0100   -0.0001
   780        0.7286             nan     0.0100   -0.0001
   800        0.7266             nan     0.0100   -0.0001
   820        0.7245             nan     0.0100   -0.0001
   840        0.7228             nan     0.0100   -0.0001
   860        0.7201             nan     0.0100   -0.0001
   880        0.7184             nan     0.0100   -0.0001
   900        0.7162             nan     0.0100   -0.0000
   920        0.7141             nan     0.0100   -0.0001
   940        0.7123             nan     0.0100   -0.0001
   960        0.7105             nan     0.0100   -0.0002
   980        0.7089             nan     0.0100   -0.0001
  1000        0.7071             nan     0.0100   -0.0001
  1020        0.7054             nan     0.0100   -0.0001
  1040        0.7035             nan     0.0100   -0.0001
  1060        0.7018             nan     0.0100   -0.0000
  1080        0.7001             nan     0.0100   -0.0001
  1100        0.6983             nan     0.0100   -0.0000

- Fold09.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3238             nan     0.0100    0.0039
     2        1.3159             nan     0.0100    0.0038
     3        1.3081             nan     0.0100    0.0037
     4        1.3002             nan     0.0100    0.0038
     5        1.2922             nan     0.0100    0.0039
     6        1.2847             nan     0.0100    0.0039
     7        1.2773             nan     0.0100    0.0038
     8        1.2698             nan     0.0100    0.0036
     9        1.2628             nan     0.0100    0.0034
    10        1.2558             nan     0.0100    0.0036
    20        1.1931             nan     0.0100    0.0028
    40        1.0931             nan     0.0100    0.0018
    60        1.0208             nan     0.0100    0.0013
    80        0.9676             nan     0.0100    0.0011
   100        0.9279             nan     0.0100    0.0007
   120        0.8972             nan     0.0100    0.0003
   140        0.8726             nan     0.0100    0.0005
   160        0.8534             nan     0.0100    0.0001
   180        0.8374             nan     0.0100    0.0000
   200        0.8230             nan     0.0100    0.0002
   220        0.8110             nan     0.0100    0.0002
   240        0.8002             nan     0.0100    0.0001
   260        0.7912             nan     0.0100    0.0000
   280        0.7831             nan     0.0100    0.0000
   300        0.7755             nan     0.0100    0.0000
   320        0.7693             nan     0.0100   -0.0000
   340        0.7625             nan     0.0100   -0.0000
   360        0.7567             nan     0.0100    0.0001
   380        0.7511             nan     0.0100   -0.0000
   400        0.7463             nan     0.0100   -0.0001
   420        0.7418             nan     0.0100   -0.0001
   440        0.7367             nan     0.0100   -0.0001
   460        0.7326             nan     0.0100   -0.0001
   480        0.7287             nan     0.0100   -0.0001
   500        0.7244             nan     0.0100   -0.0000
   520        0.7206             nan     0.0100   -0.0001
   540        0.7169             nan     0.0100   -0.0002
   560        0.7134             nan     0.0100   -0.0001
   580        0.7098             nan     0.0100   -0.0002
   600        0.7064             nan     0.0100   -0.0001
   620        0.7034             nan     0.0100   -0.0001
   640        0.6996             nan     0.0100   -0.0000
   660        0.6966             nan     0.0100   -0.0001
   680        0.6931             nan     0.0100   -0.0001
   700        0.6896             nan     0.0100   -0.0000
   720        0.6868             nan     0.0100   -0.0001
   740        0.6842             nan     0.0100   -0.0002
   760        0.6816             nan     0.0100   -0.0001
   780        0.6785             nan     0.0100   -0.0001
   800        0.6754             nan     0.0100   -0.0001
   820        0.6725             nan     0.0100   -0.0001
   840        0.6692             nan     0.0100   -0.0002
   860        0.6665             nan     0.0100   -0.0001
   880        0.6636             nan     0.0100   -0.0001
   900        0.6610             nan     0.0100   -0.0002
   920        0.6581             nan     0.0100   -0.0001
   940        0.6557             nan     0.0100   -0.0001
   960        0.6533             nan     0.0100   -0.0001
   980        0.6506             nan     0.0100   -0.0001
  1000        0.6482             nan     0.0100   -0.0001
  1020        0.6460             nan     0.0100   -0.0001
  1040        0.6439             nan     0.0100   -0.0002
  1060        0.6412             nan     0.0100   -0.0001
  1080        0.6390             nan     0.0100   -0.0001
  1100        0.6368             nan     0.0100   -0.0001

- Fold09.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2676             nan     0.1000    0.0274
     2        1.2192             nan     0.1000    0.0238
     3        1.1824             nan     0.1000    0.0180
     4        1.1511             nan     0.1000    0.0162
     5        1.1208             nan     0.1000    0.0131
     6        1.1013             nan     0.1000    0.0108
     7        1.0820             nan     0.1000    0.0090
     8        1.0655             nan     0.1000    0.0067
     9        1.0478             nan     0.1000    0.0076
    10        1.0349             nan     0.1000    0.0060
    20        0.9531             nan     0.1000    0.0039
    40        0.8721             nan     0.1000    0.0013
    60        0.8335             nan     0.1000   -0.0001
    80        0.8072             nan     0.1000   -0.0007
   100        0.7913             nan     0.1000   -0.0006
   120        0.7783             nan     0.1000   -0.0006
   140        0.7683             nan     0.1000   -0.0003
   160        0.7605             nan     0.1000   -0.0003
   180        0.7554             nan     0.1000   -0.0003
   200        0.7487             nan     0.1000   -0.0000
   220        0.7434             nan     0.1000   -0.0015
   240        0.7377             nan     0.1000   -0.0008
   260        0.7328             nan     0.1000   -0.0003
   280        0.7283             nan     0.1000   -0.0008
   300        0.7238             nan     0.1000   -0.0004
   320        0.7212             nan     0.1000   -0.0006
   340        0.7188             nan     0.1000   -0.0006
   360        0.7157             nan     0.1000   -0.0010
   380        0.7121             nan     0.1000   -0.0007
   400        0.7086             nan     0.1000   -0.0008
   420        0.7060             nan     0.1000   -0.0003
   440        0.7028             nan     0.1000   -0.0007
   460        0.6993             nan     0.1000   -0.0008
   480        0.6964             nan     0.1000   -0.0002
   500        0.6947             nan     0.1000   -0.0014
   520        0.6916             nan     0.1000   -0.0011
   540        0.6896             nan     0.1000   -0.0004
   560        0.6881             nan     0.1000   -0.0006
   580        0.6849             nan     0.1000   -0.0003
   600        0.6839             nan     0.1000   -0.0017
   620        0.6812             nan     0.1000   -0.0005
   640        0.6781             nan     0.1000   -0.0009
   660        0.6762             nan     0.1000   -0.0016
   680        0.6754             nan     0.1000   -0.0004
   700        0.6726             nan     0.1000   -0.0012
   720        0.6709             nan     0.1000   -0.0009
   740        0.6695             nan     0.1000   -0.0002
   760        0.6673             nan     0.1000   -0.0013
   780        0.6659             nan     0.1000   -0.0012
   800        0.6630             nan     0.1000   -0.0006
   820        0.6605             nan     0.1000   -0.0011
   840        0.6602             nan     0.1000   -0.0010
   860        0.6590             nan     0.1000   -0.0011
   880        0.6566             nan     0.1000   -0.0005
   900        0.6541             nan     0.1000   -0.0009
   920        0.6530             nan     0.1000   -0.0009
   940        0.6515             nan     0.1000   -0.0009
   960        0.6504             nan     0.1000   -0.0006
   980        0.6491             nan     0.1000   -0.0005
  1000        0.6480             nan     0.1000   -0.0004
  1020        0.6461             nan     0.1000   -0.0013
  1040        0.6450             nan     0.1000   -0.0019
  1060        0.6438             nan     0.1000   -0.0017
  1080        0.6421             nan     0.1000   -0.0008
  1100        0.6401             nan     0.1000   -0.0004

- Fold09.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2551             nan     0.1000    0.0347
     2        1.2004             nan     0.1000    0.0289
     3        1.1511             nan     0.1000    0.0236
     4        1.1083             nan     0.1000    0.0214
     5        1.0709             nan     0.1000    0.0169
     6        1.0404             nan     0.1000    0.0140
     7        1.0149             nan     0.1000    0.0122
     8        0.9944             nan     0.1000    0.0114
     9        0.9758             nan     0.1000    0.0083
    10        0.9597             nan     0.1000    0.0061
    20        0.8640             nan     0.1000    0.0018
    40        0.7845             nan     0.1000   -0.0003
    60        0.7480             nan     0.1000   -0.0015
    80        0.7221             nan     0.1000   -0.0001
   100        0.7047             nan     0.1000   -0.0011
   120        0.6866             nan     0.1000   -0.0013
   140        0.6711             nan     0.1000   -0.0011
   160        0.6588             nan     0.1000   -0.0011
   180        0.6444             nan     0.1000   -0.0008
   200        0.6330             nan     0.1000   -0.0010
   220        0.6212             nan     0.1000   -0.0006
   240        0.6121             nan     0.1000   -0.0009
   260        0.6036             nan     0.1000   -0.0010
   280        0.5950             nan     0.1000   -0.0011
   300        0.5871             nan     0.1000   -0.0012
   320        0.5783             nan     0.1000   -0.0015
   340        0.5739             nan     0.1000   -0.0009
   360        0.5667             nan     0.1000   -0.0018
   380        0.5602             nan     0.1000   -0.0016
   400        0.5518             nan     0.1000   -0.0006
   420        0.5454             nan     0.1000   -0.0009
   440        0.5413             nan     0.1000   -0.0018
   460        0.5344             nan     0.1000   -0.0011
   480        0.5291             nan     0.1000   -0.0007
   500        0.5244             nan     0.1000   -0.0010
   520        0.5185             nan     0.1000   -0.0006
   540        0.5121             nan     0.1000   -0.0013
   560        0.5071             nan     0.1000   -0.0014
   580        0.5008             nan     0.1000   -0.0014
   600        0.4949             nan     0.1000   -0.0012
   620        0.4896             nan     0.1000   -0.0007
   640        0.4815             nan     0.1000   -0.0007
   660        0.4772             nan     0.1000   -0.0007
   680        0.4737             nan     0.1000   -0.0008
   700        0.4685             nan     0.1000   -0.0008
   720        0.4650             nan     0.1000   -0.0005
   740        0.4589             nan     0.1000   -0.0007
   760        0.4538             nan     0.1000   -0.0015
   780        0.4493             nan     0.1000   -0.0010
   800        0.4446             nan     0.1000   -0.0008
   820        0.4415             nan     0.1000   -0.0007
   840        0.4378             nan     0.1000   -0.0014
   860        0.4352             nan     0.1000   -0.0006
   880        0.4314             nan     0.1000   -0.0006
   900        0.4285             nan     0.1000   -0.0009
   920        0.4233             nan     0.1000   -0.0004
   940        0.4195             nan     0.1000   -0.0007
   960        0.4165             nan     0.1000   -0.0007
   980        0.4147             nan     0.1000   -0.0005
  1000        0.4114             nan     0.1000   -0.0006
  1020        0.4091             nan     0.1000   -0.0006
  1040        0.4057             nan     0.1000   -0.0010
  1060        0.4029             nan     0.1000   -0.0007
  1080        0.4001             nan     0.1000   -0.0006
  1100        0.3970             nan     0.1000   -0.0007

- Fold09.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2576             nan     0.1000    0.0367
     2        1.1939             nan     0.1000    0.0325
     3        1.1386             nan     0.1000    0.0255
     4        1.0925             nan     0.1000    0.0231
     5        1.0539             nan     0.1000    0.0191
     6        1.0224             nan     0.1000    0.0163
     7        0.9950             nan     0.1000    0.0129
     8        0.9700             nan     0.1000    0.0103
     9        0.9474             nan     0.1000    0.0095
    10        0.9303             nan     0.1000    0.0075
    20        0.8238             nan     0.1000    0.0030
    40        0.7467             nan     0.1000   -0.0003
    60        0.7082             nan     0.1000    0.0004
    80        0.6785             nan     0.1000   -0.0009
   100        0.6506             nan     0.1000   -0.0010
   120        0.6283             nan     0.1000   -0.0019
   140        0.6117             nan     0.1000   -0.0021
   160        0.5960             nan     0.1000   -0.0002
   180        0.5747             nan     0.1000   -0.0021
   200        0.5590             nan     0.1000   -0.0006
   220        0.5370             nan     0.1000   -0.0014
   240        0.5225             nan     0.1000   -0.0010
   260        0.5097             nan     0.1000   -0.0008
   280        0.4968             nan     0.1000   -0.0014
   300        0.4865             nan     0.1000   -0.0011
   320        0.4759             nan     0.1000   -0.0009
   340        0.4671             nan     0.1000   -0.0020
   360        0.4580             nan     0.1000   -0.0011
   380        0.4476             nan     0.1000   -0.0005
   400        0.4412             nan     0.1000   -0.0014
   420        0.4340             nan     0.1000   -0.0006
   440        0.4249             nan     0.1000   -0.0008
   460        0.4170             nan     0.1000   -0.0012
   480        0.4090             nan     0.1000   -0.0007
   500        0.4027             nan     0.1000   -0.0013
   520        0.3967             nan     0.1000   -0.0008
   540        0.3915             nan     0.1000   -0.0016
   560        0.3841             nan     0.1000   -0.0010
   580        0.3784             nan     0.1000   -0.0005
   600        0.3730             nan     0.1000   -0.0011
   620        0.3687             nan     0.1000   -0.0014
   640        0.3622             nan     0.1000   -0.0010
   660        0.3566             nan     0.1000   -0.0016
   680        0.3515             nan     0.1000   -0.0007
   700        0.3464             nan     0.1000   -0.0012
   720        0.3420             nan     0.1000   -0.0013
   740        0.3387             nan     0.1000   -0.0007
   760        0.3344             nan     0.1000   -0.0017
   780        0.3289             nan     0.1000   -0.0012
   800        0.3259             nan     0.1000   -0.0007
   820        0.3210             nan     0.1000   -0.0008
   840        0.3164             nan     0.1000   -0.0011
   860        0.3113             nan     0.1000   -0.0006
   880        0.3060             nan     0.1000   -0.0010
   900        0.3009             nan     0.1000   -0.0013
   920        0.2967             nan     0.1000   -0.0009
   940        0.2930             nan     0.1000   -0.0012
   960        0.2899             nan     0.1000   -0.0008
   980        0.2872             nan     0.1000   -0.0009
  1000        0.2845             nan     0.1000   -0.0008
  1020        0.2811             nan     0.1000   -0.0008
  1040        0.2771             nan     0.1000   -0.0007
  1060        0.2730             nan     0.1000   -0.0007
  1080        0.2695             nan     0.1000   -0.0008
  1100        0.2677             nan     0.1000   -0.0012

- Fold09.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3255             nan     0.0100    0.0026
     2        1.3198             nan     0.0100    0.0026
     3        1.3141             nan     0.0100    0.0027
     4        1.3086             nan     0.0100    0.0027
     5        1.3031             nan     0.0100    0.0026
     6        1.2982             nan     0.0100    0.0025
     7        1.2933             nan     0.0100    0.0025
     8        1.2882             nan     0.0100    0.0025
     9        1.2829             nan     0.0100    0.0024
    10        1.2784             nan     0.0100    0.0024
    20        1.2364             nan     0.0100    0.0019
    40        1.1723             nan     0.0100    0.0014
    60        1.1258             nan     0.0100    0.0010
    80        1.0895             nan     0.0100    0.0008
   100        1.0590             nan     0.0100    0.0006
   120        1.0342             nan     0.0100    0.0005
   140        1.0134             nan     0.0100    0.0002
   160        0.9960             nan     0.0100    0.0003
   180        0.9806             nan     0.0100    0.0002
   200        0.9673             nan     0.0100    0.0002
   220        0.9555             nan     0.0100    0.0001
   240        0.9454             nan     0.0100    0.0001
   260        0.9359             nan     0.0100    0.0001
   280        0.9272             nan     0.0100    0.0001
   300        0.9194             nan     0.0100   -0.0000
   320        0.9119             nan     0.0100    0.0000
   340        0.9054             nan     0.0100    0.0002
   360        0.8993             nan     0.0100    0.0000
   380        0.8939             nan     0.0100    0.0001
   400        0.8890             nan     0.0100    0.0001
   420        0.8844             nan     0.0100   -0.0000
   440        0.8795             nan     0.0100    0.0001
   460        0.8750             nan     0.0100    0.0001
   480        0.8708             nan     0.0100   -0.0000
   500        0.8666             nan     0.0100    0.0000
   520        0.8627             nan     0.0100   -0.0000
   540        0.8589             nan     0.0100    0.0001
   560        0.8558             nan     0.0100   -0.0000
   580        0.8526             nan     0.0100   -0.0000
   600        0.8496             nan     0.0100   -0.0001
   620        0.8466             nan     0.0100   -0.0000
   640        0.8435             nan     0.0100   -0.0000
   660        0.8409             nan     0.0100    0.0000
   680        0.8382             nan     0.0100    0.0000
   700        0.8356             nan     0.0100    0.0000
   720        0.8333             nan     0.0100    0.0000
   740        0.8308             nan     0.0100   -0.0000
   760        0.8284             nan     0.0100    0.0000
   780        0.8262             nan     0.0100   -0.0001
   800        0.8239             nan     0.0100   -0.0000
   820        0.8216             nan     0.0100    0.0000
   840        0.8195             nan     0.0100    0.0000
   860        0.8175             nan     0.0100    0.0000
   880        0.8155             nan     0.0100   -0.0001
   900        0.8136             nan     0.0100   -0.0000
   920        0.8118             nan     0.0100    0.0000
   940        0.8102             nan     0.0100    0.0000
   960        0.8084             nan     0.0100   -0.0000
   980        0.8067             nan     0.0100    0.0000
  1000        0.8049             nan     0.0100   -0.0001
  1020        0.8037             nan     0.0100   -0.0000
  1040        0.8022             nan     0.0100   -0.0000
  1060        0.8009             nan     0.0100   -0.0001
  1080        0.7992             nan     0.0100   -0.0001
  1100        0.7979             nan     0.0100   -0.0001

- Fold10.Rep2: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3242             nan     0.0100    0.0038
     2        1.3169             nan     0.0100    0.0036
     3        1.3100             nan     0.0100    0.0035
     4        1.3032             nan     0.0100    0.0033
     5        1.2965             nan     0.0100    0.0033
     6        1.2904             nan     0.0100    0.0033
     7        1.2843             nan     0.0100    0.0032
     8        1.2780             nan     0.0100    0.0031
     9        1.2716             nan     0.0100    0.0030
    10        1.2652             nan     0.0100    0.0029
    20        1.2096             nan     0.0100    0.0022
    40        1.1249             nan     0.0100    0.0016
    60        1.0619             nan     0.0100    0.0012
    80        1.0159             nan     0.0100    0.0009
   100        0.9802             nan     0.0100    0.0007
   120        0.9510             nan     0.0100    0.0004
   140        0.9288             nan     0.0100    0.0001
   160        0.9102             nan     0.0100    0.0003
   180        0.8949             nan     0.0100    0.0001
   200        0.8811             nan     0.0100    0.0001
   220        0.8688             nan     0.0100    0.0001
   240        0.8589             nan     0.0100    0.0001
   260        0.8496             nan     0.0100    0.0001
   280        0.8416             nan     0.0100    0.0001
   300        0.8336             nan     0.0100    0.0001
   320        0.8271             nan     0.0100    0.0000
   340        0.8199             nan     0.0100    0.0000
   360        0.8136             nan     0.0100    0.0002
   380        0.8082             nan     0.0100    0.0000
   400        0.8027             nan     0.0100    0.0000
   420        0.7973             nan     0.0100    0.0001
   440        0.7924             nan     0.0100   -0.0001
   460        0.7883             nan     0.0100   -0.0001
   480        0.7838             nan     0.0100    0.0000
   500        0.7795             nan     0.0100   -0.0002
   520        0.7758             nan     0.0100   -0.0001
   540        0.7722             nan     0.0100   -0.0000
   560        0.7684             nan     0.0100   -0.0000
   580        0.7649             nan     0.0100   -0.0001
   600        0.7616             nan     0.0100   -0.0001
   620        0.7587             nan     0.0100   -0.0000
   640        0.7558             nan     0.0100    0.0000
   660        0.7528             nan     0.0100   -0.0001
   680        0.7499             nan     0.0100    0.0000
   700        0.7469             nan     0.0100    0.0000
   720        0.7442             nan     0.0100   -0.0000
   740        0.7416             nan     0.0100   -0.0001
   760        0.7391             nan     0.0100   -0.0001
   780        0.7369             nan     0.0100    0.0000
   800        0.7343             nan     0.0100   -0.0001
   820        0.7324             nan     0.0100   -0.0001
   840        0.7300             nan     0.0100   -0.0001
   860        0.7280             nan     0.0100   -0.0001
   880        0.7259             nan     0.0100   -0.0000
   900        0.7232             nan     0.0100   -0.0001
   920        0.7208             nan     0.0100   -0.0000
   940        0.7188             nan     0.0100   -0.0001
   960        0.7168             nan     0.0100   -0.0001
   980        0.7152             nan     0.0100   -0.0001
  1000        0.7131             nan     0.0100   -0.0001
  1020        0.7111             nan     0.0100   -0.0000
  1040        0.7090             nan     0.0100   -0.0000
  1060        0.7071             nan     0.0100   -0.0000
  1080        0.7053             nan     0.0100    0.0000
  1100        0.7034             nan     0.0100   -0.0001

- Fold10.Rep2: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3232             nan     0.0100    0.0038
     2        1.3148             nan     0.0100    0.0040
     3        1.3072             nan     0.0100    0.0037
     4        1.2994             nan     0.0100    0.0038
     5        1.2923             nan     0.0100    0.0036
     6        1.2852             nan     0.0100    0.0034
     7        1.2781             nan     0.0100    0.0032
     8        1.2708             nan     0.0100    0.0031
     9        1.2644             nan     0.0100    0.0034
    10        1.2580             nan     0.0100    0.0031
    20        1.1970             nan     0.0100    0.0026
    40        1.1020             nan     0.0100    0.0020
    60        1.0338             nan     0.0100    0.0014
    80        0.9825             nan     0.0100    0.0011
   100        0.9439             nan     0.0100    0.0007
   120        0.9151             nan     0.0100    0.0007
   140        0.8922             nan     0.0100    0.0004
   160        0.8732             nan     0.0100    0.0002
   180        0.8567             nan     0.0100    0.0002
   200        0.8416             nan     0.0100    0.0002
   220        0.8289             nan     0.0100    0.0001
   240        0.8173             nan     0.0100    0.0002
   260        0.8077             nan     0.0100    0.0001
   280        0.7991             nan     0.0100    0.0001
   300        0.7903             nan     0.0100    0.0001
   320        0.7832             nan     0.0100    0.0001
   340        0.7761             nan     0.0100    0.0000
   360        0.7690             nan     0.0100   -0.0000
   380        0.7627             nan     0.0100   -0.0000
   400        0.7566             nan     0.0100   -0.0000
   420        0.7519             nan     0.0100    0.0000
   440        0.7465             nan     0.0100   -0.0000
   460        0.7415             nan     0.0100   -0.0002
   480        0.7366             nan     0.0100   -0.0001
   500        0.7324             nan     0.0100   -0.0001
   520        0.7280             nan     0.0100   -0.0001
   540        0.7237             nan     0.0100   -0.0001
   560        0.7199             nan     0.0100   -0.0000
   580        0.7159             nan     0.0100   -0.0001
   600        0.7123             nan     0.0100   -0.0000
   620        0.7084             nan     0.0100   -0.0001
   640        0.7053             nan     0.0100   -0.0002
   660        0.7016             nan     0.0100    0.0000
   680        0.6976             nan     0.0100   -0.0000
   700        0.6944             nan     0.0100    0.0000
   720        0.6908             nan     0.0100   -0.0001
   740        0.6878             nan     0.0100   -0.0002
   760        0.6850             nan     0.0100   -0.0000
   780        0.6820             nan     0.0100   -0.0001
   800        0.6792             nan     0.0100   -0.0001
   820        0.6759             nan     0.0100   -0.0001
   840        0.6733             nan     0.0100   -0.0001
   860        0.6704             nan     0.0100   -0.0001
   880        0.6684             nan     0.0100   -0.0001
   900        0.6659             nan     0.0100   -0.0001
   920        0.6624             nan     0.0100   -0.0001
   940        0.6597             nan     0.0100   -0.0003
   960        0.6572             nan     0.0100   -0.0002
   980        0.6544             nan     0.0100   -0.0002
  1000        0.6520             nan     0.0100   -0.0000
  1020        0.6493             nan     0.0100   -0.0000
  1040        0.6466             nan     0.0100   -0.0001
  1060        0.6437             nan     0.0100   -0.0001
  1080        0.6417             nan     0.0100   -0.0002
  1100        0.6387             nan     0.0100   -0.0002

- Fold10.Rep2: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2751             nan     0.1000    0.0271
     2        1.2310             nan     0.1000    0.0214
     3        1.1965             nan     0.1000    0.0177
     4        1.1645             nan     0.1000    0.0147
     5        1.1412             nan     0.1000    0.0125
     6        1.1190             nan     0.1000    0.0098
     7        1.1028             nan     0.1000    0.0085
     8        1.0846             nan     0.1000    0.0084
     9        1.0691             nan     0.1000    0.0066
    10        1.0557             nan     0.1000    0.0065
    20        0.9679             nan     0.1000    0.0022
    40        0.8883             nan     0.1000    0.0003
    60        0.8464             nan     0.1000   -0.0002
    80        0.8200             nan     0.1000   -0.0002
   100        0.8034             nan     0.1000   -0.0013
   120        0.7880             nan     0.1000    0.0002
   140        0.7772             nan     0.1000   -0.0008
   160        0.7683             nan     0.1000   -0.0005
   180        0.7613             nan     0.1000   -0.0008
   200        0.7553             nan     0.1000   -0.0005
   220        0.7506             nan     0.1000   -0.0010
   240        0.7469             nan     0.1000   -0.0007
   260        0.7414             nan     0.1000   -0.0007
   280        0.7371             nan     0.1000   -0.0010
   300        0.7331             nan     0.1000   -0.0005
   320        0.7282             nan     0.1000   -0.0004
   340        0.7257             nan     0.1000   -0.0012
   360        0.7225             nan     0.1000   -0.0008
   380        0.7192             nan     0.1000   -0.0008
   400        0.7157             nan     0.1000   -0.0004
   420        0.7124             nan     0.1000   -0.0003
   440        0.7100             nan     0.1000   -0.0012
   460        0.7078             nan     0.1000   -0.0020
   480        0.7041             nan     0.1000   -0.0010
   500        0.7000             nan     0.1000   -0.0001
   520        0.6973             nan     0.1000   -0.0008
   540        0.6945             nan     0.1000   -0.0005
   560        0.6921             nan     0.1000   -0.0004
   580        0.6901             nan     0.1000   -0.0014
   600        0.6872             nan     0.1000   -0.0003
   620        0.6854             nan     0.1000   -0.0012
   640        0.6832             nan     0.1000   -0.0016
   660        0.6797             nan     0.1000   -0.0007
   680        0.6777             nan     0.1000   -0.0005
   700        0.6762             nan     0.1000   -0.0011
   720        0.6752             nan     0.1000   -0.0004
   740        0.6741             nan     0.1000   -0.0005
   760        0.6726             nan     0.1000   -0.0001
   780        0.6702             nan     0.1000   -0.0006
   800        0.6694             nan     0.1000   -0.0010
   820        0.6676             nan     0.1000   -0.0006
   840        0.6661             nan     0.1000   -0.0024
   860        0.6642             nan     0.1000   -0.0021
   880        0.6633             nan     0.1000   -0.0007
   900        0.6622             nan     0.1000   -0.0007
   920        0.6597             nan     0.1000   -0.0010
   940        0.6580             nan     0.1000   -0.0009
   960        0.6565             nan     0.1000   -0.0015
   980        0.6547             nan     0.1000   -0.0006
  1000        0.6538             nan     0.1000   -0.0014
  1020        0.6514             nan     0.1000   -0.0009
  1040        0.6499             nan     0.1000   -0.0005
  1060        0.6478             nan     0.1000   -0.0009
  1080        0.6459             nan     0.1000   -0.0008
  1100        0.6450             nan     0.1000   -0.0004

- Fold10.Rep2: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2617             nan     0.1000    0.0313
     2        1.2039             nan     0.1000    0.0276
     3        1.1585             nan     0.1000    0.0229
     4        1.1201             nan     0.1000    0.0198
     5        1.0859             nan     0.1000    0.0160
     6        1.0581             nan     0.1000    0.0124
     7        1.0358             nan     0.1000    0.0108
     8        1.0169             nan     0.1000    0.0074
     9        0.9955             nan     0.1000    0.0091
    10        0.9781             nan     0.1000    0.0075
    20        0.8821             nan     0.1000    0.0002
    40        0.8020             nan     0.1000    0.0014
    60        0.7699             nan     0.1000   -0.0008
    80        0.7433             nan     0.1000   -0.0006
   100        0.7176             nan     0.1000   -0.0003
   120        0.6987             nan     0.1000   -0.0006
   140        0.6823             nan     0.1000   -0.0016
   160        0.6686             nan     0.1000   -0.0020
   180        0.6523             nan     0.1000   -0.0016
   200        0.6405             nan     0.1000   -0.0014
   220        0.6304             nan     0.1000   -0.0018
   240        0.6214             nan     0.1000   -0.0007
   260        0.6131             nan     0.1000   -0.0013
   280        0.6041             nan     0.1000   -0.0004
   300        0.5932             nan     0.1000   -0.0015
   320        0.5862             nan     0.1000   -0.0004
   340        0.5760             nan     0.1000   -0.0011
   360        0.5678             nan     0.1000   -0.0005
   380        0.5617             nan     0.1000   -0.0014
   400        0.5543             nan     0.1000   -0.0011
   420        0.5468             nan     0.1000   -0.0015
   440        0.5384             nan     0.1000   -0.0012
   460        0.5329             nan     0.1000   -0.0008
   480        0.5247             nan     0.1000   -0.0017
   500        0.5160             nan     0.1000   -0.0012
   520        0.5081             nan     0.1000   -0.0007
   540        0.5028             nan     0.1000   -0.0006
   560        0.4969             nan     0.1000   -0.0010
   580        0.4923             nan     0.1000   -0.0014
   600        0.4871             nan     0.1000   -0.0007
   620        0.4825             nan     0.1000   -0.0008
   640        0.4765             nan     0.1000   -0.0007
   660        0.4715             nan     0.1000   -0.0013
   680        0.4671             nan     0.1000   -0.0005
   700        0.4623             nan     0.1000   -0.0017
   720        0.4581             nan     0.1000   -0.0008
   740        0.4547             nan     0.1000   -0.0017
   760        0.4508             nan     0.1000   -0.0005
   780        0.4481             nan     0.1000   -0.0004
   800        0.4430             nan     0.1000   -0.0012
   820        0.4387             nan     0.1000   -0.0006
   840        0.4340             nan     0.1000   -0.0006
   860        0.4307             nan     0.1000   -0.0016
   880        0.4270             nan     0.1000   -0.0010
   900        0.4237             nan     0.1000   -0.0006
   920        0.4212             nan     0.1000   -0.0005
   940        0.4170             nan     0.1000   -0.0008
   960        0.4129             nan     0.1000   -0.0009
   980        0.4089             nan     0.1000   -0.0007
  1000        0.4062             nan     0.1000   -0.0008
  1020        0.4017             nan     0.1000   -0.0013
  1040        0.3968             nan     0.1000   -0.0012
  1060        0.3957             nan     0.1000   -0.0008
  1080        0.3928             nan     0.1000   -0.0009
  1100        0.3895             nan     0.1000   -0.0008

- Fold10.Rep2: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2562             nan     0.1000    0.0363
     2        1.1950             nan     0.1000    0.0297
     3        1.1484             nan     0.1000    0.0206
     4        1.1051             nan     0.1000    0.0217
     5        1.0687             nan     0.1000    0.0184
     6        1.0381             nan     0.1000    0.0153
     7        1.0092             nan     0.1000    0.0135
     8        0.9874             nan     0.1000    0.0095
     9        0.9709             nan     0.1000    0.0080
    10        0.9530             nan     0.1000    0.0055
    20        0.8470             nan     0.1000   -0.0002
    40        0.7634             nan     0.1000    0.0005
    60        0.7121             nan     0.1000   -0.0011
    80        0.6785             nan     0.1000   -0.0013
   100        0.6532             nan     0.1000   -0.0005
   120        0.6279             nan     0.1000   -0.0002
   140        0.6066             nan     0.1000   -0.0015
   160        0.5877             nan     0.1000   -0.0009
   180        0.5679             nan     0.1000   -0.0005
   200        0.5513             nan     0.1000   -0.0005
   220        0.5391             nan     0.1000   -0.0014
   240        0.5255             nan     0.1000   -0.0006
   260        0.5142             nan     0.1000   -0.0011
   280        0.5030             nan     0.1000   -0.0011
   300        0.4915             nan     0.1000   -0.0005
   320        0.4794             nan     0.1000   -0.0017
   340        0.4707             nan     0.1000   -0.0015
   360        0.4627             nan     0.1000   -0.0003
   380        0.4507             nan     0.1000   -0.0019
   400        0.4413             nan     0.1000   -0.0008
   420        0.4328             nan     0.1000   -0.0009
   440        0.4252             nan     0.1000   -0.0012
   460        0.4190             nan     0.1000   -0.0005
   480        0.4119             nan     0.1000   -0.0016
   500        0.4057             nan     0.1000   -0.0014
   520        0.3981             nan     0.1000   -0.0008
   540        0.3901             nan     0.1000   -0.0008
   560        0.3831             nan     0.1000   -0.0006
   580        0.3780             nan     0.1000   -0.0008
   600        0.3707             nan     0.1000   -0.0005
   620        0.3655             nan     0.1000   -0.0009
   640        0.3587             nan     0.1000   -0.0013
   660        0.3538             nan     0.1000   -0.0010
   680        0.3481             nan     0.1000   -0.0012
   700        0.3420             nan     0.1000   -0.0011
   720        0.3353             nan     0.1000   -0.0006
   740        0.3297             nan     0.1000   -0.0013
   760        0.3249             nan     0.1000   -0.0006
   780        0.3201             nan     0.1000   -0.0014
   800        0.3149             nan     0.1000   -0.0004
   820        0.3114             nan     0.1000   -0.0009
   840        0.3086             nan     0.1000   -0.0014
   860        0.3041             nan     0.1000   -0.0006
   880        0.2999             nan     0.1000   -0.0004
   900        0.2947             nan     0.1000   -0.0012
   920        0.2916             nan     0.1000   -0.0008
   940        0.2870             nan     0.1000   -0.0006
   960        0.2841             nan     0.1000   -0.0016
   980        0.2801             nan     0.1000   -0.0016
  1000        0.2770             nan     0.1000   -0.0009
  1020        0.2740             nan     0.1000   -0.0009
  1040        0.2681             nan     0.1000   -0.0009
  1060        0.2644             nan     0.1000   -0.0004
  1080        0.2595             nan     0.1000   -0.0011
  1100        0.2575             nan     0.1000   -0.0008

- Fold10.Rep2: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3247             nan     0.0100    0.0033
     2        1.3180             nan     0.0100    0.0030
     3        1.3118             nan     0.0100    0.0031
     4        1.3056             nan     0.0100    0.0029
     5        1.2995             nan     0.0100    0.0029
     6        1.2937             nan     0.0100    0.0030
     7        1.2879             nan     0.0100    0.0029
     8        1.2821             nan     0.0100    0.0027
     9        1.2767             nan     0.0100    0.0028
    10        1.2712             nan     0.0100    0.0027
    20        1.2209             nan     0.0100    0.0022
    40        1.1446             nan     0.0100    0.0015
    60        1.0920             nan     0.0100    0.0007
    80        1.0542             nan     0.0100    0.0008
   100        1.0234             nan     0.0100    0.0005
   120        0.9984             nan     0.0100    0.0005
   140        0.9775             nan     0.0100    0.0004
   160        0.9589             nan     0.0100    0.0003
   180        0.9446             nan     0.0100    0.0002
   200        0.9308             nan     0.0100    0.0001
   220        0.9194             nan     0.0100    0.0002
   240        0.9088             nan     0.0100    0.0001
   260        0.8994             nan     0.0100    0.0002
   280        0.8911             nan     0.0100    0.0001
   300        0.8834             nan     0.0100    0.0002
   320        0.8764             nan     0.0100    0.0000
   340        0.8699             nan     0.0100    0.0001
   360        0.8643             nan     0.0100    0.0001
   380        0.8590             nan     0.0100   -0.0001
   400        0.8541             nan     0.0100    0.0001
   420        0.8496             nan     0.0100   -0.0001
   440        0.8451             nan     0.0100   -0.0000
   460        0.8410             nan     0.0100    0.0001
   480        0.8369             nan     0.0100    0.0000
   500        0.8332             nan     0.0100    0.0000
   520        0.8297             nan     0.0100   -0.0000
   540        0.8263             nan     0.0100   -0.0002
   560        0.8232             nan     0.0100    0.0000
   580        0.8201             nan     0.0100    0.0000
   600        0.8172             nan     0.0100   -0.0000
   620        0.8143             nan     0.0100   -0.0000
   640        0.8118             nan     0.0100   -0.0000
   660        0.8093             nan     0.0100    0.0000
   680        0.8069             nan     0.0100   -0.0001
   700        0.8049             nan     0.0100    0.0000
   720        0.8030             nan     0.0100   -0.0001
   740        0.8011             nan     0.0100    0.0000
   760        0.7990             nan     0.0100   -0.0000
   780        0.7973             nan     0.0100   -0.0000
   800        0.7954             nan     0.0100   -0.0000
   820        0.7938             nan     0.0100   -0.0001
   840        0.7920             nan     0.0100   -0.0001
   860        0.7902             nan     0.0100    0.0000
   880        0.7885             nan     0.0100    0.0000
   900        0.7868             nan     0.0100   -0.0001
   920        0.7854             nan     0.0100   -0.0001
   940        0.7838             nan     0.0100   -0.0000
   960        0.7824             nan     0.0100   -0.0000
   980        0.7810             nan     0.0100   -0.0001
  1000        0.7795             nan     0.0100   -0.0000
  1020        0.7782             nan     0.0100   -0.0001
  1040        0.7770             nan     0.0100   -0.0001
  1060        0.7758             nan     0.0100   -0.0001
  1080        0.7747             nan     0.0100   -0.0000
  1100        0.7735             nan     0.0100   -0.0000

- Fold01.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3242             nan     0.0100    0.0037
     2        1.3163             nan     0.0100    0.0039
     3        1.3083             nan     0.0100    0.0037
     4        1.3007             nan     0.0100    0.0038
     5        1.2930             nan     0.0100    0.0039
     6        1.2858             nan     0.0100    0.0036
     7        1.2783             nan     0.0100    0.0033
     8        1.2713             nan     0.0100    0.0029
     9        1.2646             nan     0.0100    0.0034
    10        1.2575             nan     0.0100    0.0033
    20        1.1973             nan     0.0100    0.0028
    40        1.1041             nan     0.0100    0.0016
    60        1.0363             nan     0.0100    0.0014
    80        0.9863             nan     0.0100    0.0010
   100        0.9475             nan     0.0100    0.0007
   120        0.9172             nan     0.0100    0.0006
   140        0.8927             nan     0.0100    0.0004
   160        0.8748             nan     0.0100    0.0002
   180        0.8596             nan     0.0100    0.0002
   200        0.8469             nan     0.0100    0.0002
   220        0.8353             nan     0.0100    0.0002
   240        0.8255             nan     0.0100    0.0001
   260        0.8167             nan     0.0100    0.0001
   280        0.8090             nan     0.0100    0.0000
   300        0.8024             nan     0.0100    0.0000
   320        0.7959             nan     0.0100   -0.0000
   340        0.7902             nan     0.0100    0.0000
   360        0.7845             nan     0.0100   -0.0000
   380        0.7788             nan     0.0100    0.0001
   400        0.7734             nan     0.0100    0.0001
   420        0.7691             nan     0.0100    0.0000
   440        0.7647             nan     0.0100   -0.0001
   460        0.7607             nan     0.0100   -0.0000
   480        0.7567             nan     0.0100   -0.0001
   500        0.7534             nan     0.0100    0.0000
   520        0.7501             nan     0.0100   -0.0001
   540        0.7468             nan     0.0100   -0.0001
   560        0.7436             nan     0.0100    0.0000
   580        0.7402             nan     0.0100   -0.0000
   600        0.7374             nan     0.0100   -0.0000
   620        0.7344             nan     0.0100   -0.0000
   640        0.7315             nan     0.0100    0.0000
   660        0.7288             nan     0.0100   -0.0001
   680        0.7263             nan     0.0100   -0.0000
   700        0.7237             nan     0.0100   -0.0002
   720        0.7210             nan     0.0100   -0.0001
   740        0.7183             nan     0.0100   -0.0002
   760        0.7160             nan     0.0100   -0.0000
   780        0.7139             nan     0.0100   -0.0001
   800        0.7116             nan     0.0100   -0.0002
   820        0.7095             nan     0.0100   -0.0000
   840        0.7075             nan     0.0100   -0.0002
   860        0.7052             nan     0.0100   -0.0001
   880        0.7033             nan     0.0100   -0.0000
   900        0.7012             nan     0.0100   -0.0001
   920        0.6992             nan     0.0100   -0.0002
   940        0.6974             nan     0.0100   -0.0001
   960        0.6951             nan     0.0100   -0.0000
   980        0.6932             nan     0.0100   -0.0001
  1000        0.6914             nan     0.0100   -0.0001
  1020        0.6897             nan     0.0100   -0.0001
  1040        0.6879             nan     0.0100   -0.0001
  1060        0.6864             nan     0.0100   -0.0001
  1080        0.6848             nan     0.0100   -0.0001
  1100        0.6830             nan     0.0100   -0.0001

- Fold01.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3235             nan     0.0100    0.0040
     2        1.3151             nan     0.0100    0.0039
     3        1.3066             nan     0.0100    0.0040
     4        1.2987             nan     0.0100    0.0037
     5        1.2907             nan     0.0100    0.0041
     6        1.2826             nan     0.0100    0.0038
     7        1.2754             nan     0.0100    0.0036
     8        1.2677             nan     0.0100    0.0034
     9        1.2601             nan     0.0100    0.0036
    10        1.2533             nan     0.0100    0.0035
    20        1.1874             nan     0.0100    0.0028
    40        1.0840             nan     0.0100    0.0021
    60        1.0112             nan     0.0100    0.0016
    80        0.9560             nan     0.0100    0.0010
   100        0.9148             nan     0.0100    0.0005
   120        0.8830             nan     0.0100    0.0004
   140        0.8580             nan     0.0100    0.0004
   160        0.8379             nan     0.0100    0.0004
   180        0.8223             nan     0.0100    0.0002
   200        0.8093             nan     0.0100    0.0001
   220        0.7969             nan     0.0100    0.0001
   240        0.7869             nan     0.0100   -0.0001
   260        0.7780             nan     0.0100    0.0002
   280        0.7694             nan     0.0100   -0.0001
   300        0.7617             nan     0.0100    0.0001
   320        0.7546             nan     0.0100    0.0001
   340        0.7479             nan     0.0100   -0.0001
   360        0.7421             nan     0.0100    0.0001
   380        0.7369             nan     0.0100   -0.0000
   400        0.7314             nan     0.0100   -0.0000
   420        0.7261             nan     0.0100   -0.0001
   440        0.7215             nan     0.0100   -0.0001
   460        0.7169             nan     0.0100   -0.0000
   480        0.7124             nan     0.0100   -0.0000
   500        0.7085             nan     0.0100   -0.0000
   520        0.7045             nan     0.0100    0.0000
   540        0.7004             nan     0.0100   -0.0001
   560        0.6973             nan     0.0100   -0.0001
   580        0.6941             nan     0.0100   -0.0001
   600        0.6909             nan     0.0100   -0.0001
   620        0.6870             nan     0.0100   -0.0002
   640        0.6835             nan     0.0100   -0.0000
   660        0.6804             nan     0.0100   -0.0000
   680        0.6771             nan     0.0100   -0.0000
   700        0.6740             nan     0.0100   -0.0001
   720        0.6707             nan     0.0100   -0.0001
   740        0.6679             nan     0.0100   -0.0001
   760        0.6646             nan     0.0100   -0.0001
   780        0.6615             nan     0.0100   -0.0003
   800        0.6583             nan     0.0100   -0.0002
   820        0.6558             nan     0.0100   -0.0001
   840        0.6533             nan     0.0100   -0.0003
   860        0.6508             nan     0.0100   -0.0001
   880        0.6479             nan     0.0100   -0.0001
   900        0.6450             nan     0.0100   -0.0001
   920        0.6424             nan     0.0100   -0.0001
   940        0.6398             nan     0.0100   -0.0001
   960        0.6372             nan     0.0100   -0.0001
   980        0.6348             nan     0.0100   -0.0001
  1000        0.6324             nan     0.0100   -0.0001
  1020        0.6296             nan     0.0100   -0.0001
  1040        0.6273             nan     0.0100   -0.0001
  1060        0.6248             nan     0.0100   -0.0001
  1080        0.6227             nan     0.0100   -0.0001
  1100        0.6200             nan     0.0100   -0.0002

- Fold01.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2655             nan     0.1000    0.0317
     2        1.2187             nan     0.1000    0.0245
     3        1.1798             nan     0.1000    0.0206
     4        1.1425             nan     0.1000    0.0173
     5        1.1135             nan     0.1000    0.0142
     6        1.0905             nan     0.1000    0.0115
     7        1.0710             nan     0.1000    0.0094
     8        1.0558             nan     0.1000    0.0064
     9        1.0378             nan     0.1000    0.0072
    10        1.0235             nan     0.1000    0.0060
    20        0.9317             nan     0.1000    0.0012
    40        0.8570             nan     0.1000   -0.0006
    60        0.8190             nan     0.1000    0.0005
    80        0.7948             nan     0.1000   -0.0000
   100        0.7785             nan     0.1000   -0.0012
   120        0.7677             nan     0.1000   -0.0007
   140        0.7597             nan     0.1000   -0.0011
   160        0.7506             nan     0.1000   -0.0004
   180        0.7449             nan     0.1000   -0.0012
   200        0.7385             nan     0.1000   -0.0001
   220        0.7338             nan     0.1000   -0.0012
   240        0.7284             nan     0.1000   -0.0007
   260        0.7237             nan     0.1000   -0.0003
   280        0.7178             nan     0.1000   -0.0011
   300        0.7129             nan     0.1000   -0.0005
   320        0.7097             nan     0.1000   -0.0005
   340        0.7071             nan     0.1000   -0.0005
   360        0.7030             nan     0.1000   -0.0006
   380        0.7007             nan     0.1000   -0.0012
   400        0.6973             nan     0.1000   -0.0004
   420        0.6958             nan     0.1000   -0.0004
   440        0.6928             nan     0.1000   -0.0007
   460        0.6909             nan     0.1000   -0.0006
   480        0.6886             nan     0.1000   -0.0010
   500        0.6872             nan     0.1000   -0.0008
   520        0.6862             nan     0.1000   -0.0013
   540        0.6830             nan     0.1000   -0.0009
   560        0.6811             nan     0.1000   -0.0012
   580        0.6788             nan     0.1000   -0.0010
   600        0.6764             nan     0.1000   -0.0007
   620        0.6764             nan     0.1000   -0.0009
   640        0.6748             nan     0.1000   -0.0005
   660        0.6724             nan     0.1000   -0.0004
   680        0.6705             nan     0.1000   -0.0007
   700        0.6682             nan     0.1000   -0.0013
   720        0.6669             nan     0.1000   -0.0005
   740        0.6644             nan     0.1000   -0.0011
   760        0.6628             nan     0.1000   -0.0006
   780        0.6610             nan     0.1000   -0.0007
   800        0.6601             nan     0.1000   -0.0011
   820        0.6595             nan     0.1000   -0.0009
   840        0.6578             nan     0.1000   -0.0005
   860        0.6562             nan     0.1000   -0.0005
   880        0.6543             nan     0.1000   -0.0004
   900        0.6517             nan     0.1000   -0.0005
   920        0.6514             nan     0.1000   -0.0006
   940        0.6470             nan     0.1000   -0.0015
   960        0.6450             nan     0.1000   -0.0004
   980        0.6449             nan     0.1000   -0.0010
  1000        0.6443             nan     0.1000   -0.0004
  1020        0.6418             nan     0.1000   -0.0012
  1040        0.6401             nan     0.1000   -0.0010
  1060        0.6388             nan     0.1000   -0.0008
  1080        0.6375             nan     0.1000   -0.0007
  1100        0.6365             nan     0.1000   -0.0004

- Fold01.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2587             nan     0.1000    0.0351
     2        1.1947             nan     0.1000    0.0317
     3        1.1428             nan     0.1000    0.0251
     4        1.0988             nan     0.1000    0.0212
     5        1.0635             nan     0.1000    0.0196
     6        1.0321             nan     0.1000    0.0157
     7        1.0080             nan     0.1000    0.0104
     8        0.9850             nan     0.1000    0.0106
     9        0.9670             nan     0.1000    0.0078
    10        0.9465             nan     0.1000    0.0086
    20        0.8416             nan     0.1000    0.0025
    40        0.7755             nan     0.1000   -0.0006
    60        0.7361             nan     0.1000   -0.0000
    80        0.7181             nan     0.1000   -0.0005
   100        0.7001             nan     0.1000   -0.0018
   120        0.6857             nan     0.1000   -0.0013
   140        0.6631             nan     0.1000   -0.0003
   160        0.6505             nan     0.1000   -0.0011
   180        0.6384             nan     0.1000   -0.0003
   200        0.6251             nan     0.1000   -0.0006
   220        0.6116             nan     0.1000   -0.0003
   240        0.6031             nan     0.1000   -0.0001
   260        0.5932             nan     0.1000   -0.0009
   280        0.5793             nan     0.1000   -0.0007
   300        0.5709             nan     0.1000   -0.0010
   320        0.5619             nan     0.1000   -0.0000
   340        0.5554             nan     0.1000   -0.0012
   360        0.5482             nan     0.1000   -0.0006
   380        0.5408             nan     0.1000   -0.0008
   400        0.5340             nan     0.1000   -0.0015
   420        0.5278             nan     0.1000   -0.0017
   440        0.5212             nan     0.1000   -0.0005
   460        0.5147             nan     0.1000   -0.0008
   480        0.5084             nan     0.1000   -0.0008
   500        0.5001             nan     0.1000   -0.0005
   520        0.4939             nan     0.1000   -0.0007
   540        0.4902             nan     0.1000   -0.0015
   560        0.4847             nan     0.1000   -0.0015
   580        0.4800             nan     0.1000   -0.0009
   600        0.4764             nan     0.1000   -0.0015
   620        0.4719             nan     0.1000   -0.0008
   640        0.4655             nan     0.1000   -0.0011
   660        0.4609             nan     0.1000   -0.0006
   680        0.4560             nan     0.1000   -0.0004
   700        0.4524             nan     0.1000   -0.0009
   720        0.4488             nan     0.1000   -0.0002
   740        0.4441             nan     0.1000   -0.0005
   760        0.4383             nan     0.1000   -0.0006
   780        0.4350             nan     0.1000   -0.0009
   800        0.4312             nan     0.1000   -0.0008
   820        0.4282             nan     0.1000   -0.0009
   840        0.4244             nan     0.1000   -0.0008
   860        0.4209             nan     0.1000   -0.0014
   880        0.4175             nan     0.1000   -0.0005
   900        0.4143             nan     0.1000   -0.0011
   920        0.4117             nan     0.1000   -0.0011
   940        0.4077             nan     0.1000   -0.0003
   960        0.4038             nan     0.1000   -0.0007
   980        0.3992             nan     0.1000   -0.0013
  1000        0.3981             nan     0.1000   -0.0008
  1020        0.3949             nan     0.1000   -0.0005
  1040        0.3921             nan     0.1000   -0.0010
  1060        0.3900             nan     0.1000   -0.0009
  1080        0.3876             nan     0.1000   -0.0004
  1100        0.3850             nan     0.1000   -0.0007

- Fold01.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2471             nan     0.1000    0.0425
     2        1.1819             nan     0.1000    0.0344
     3        1.1269             nan     0.1000    0.0242
     4        1.0816             nan     0.1000    0.0199
     5        1.0400             nan     0.1000    0.0201
     6        1.0064             nan     0.1000    0.0160
     7        0.9784             nan     0.1000    0.0146
     8        0.9557             nan     0.1000    0.0107
     9        0.9339             nan     0.1000    0.0101
    10        0.9137             nan     0.1000    0.0076
    20        0.8138             nan     0.1000    0.0030
    40        0.7374             nan     0.1000    0.0000
    60        0.6955             nan     0.1000   -0.0009
    80        0.6643             nan     0.1000   -0.0012
   100        0.6366             nan     0.1000   -0.0005
   120        0.6095             nan     0.1000   -0.0012
   140        0.5916             nan     0.1000   -0.0010
   160        0.5753             nan     0.1000   -0.0008
   180        0.5574             nan     0.1000   -0.0015
   200        0.5454             nan     0.1000   -0.0001
   220        0.5330             nan     0.1000   -0.0006
   240        0.5195             nan     0.1000   -0.0007
   260        0.5102             nan     0.1000   -0.0002
   280        0.4991             nan     0.1000   -0.0026
   300        0.4853             nan     0.1000   -0.0007
   320        0.4753             nan     0.1000   -0.0005
   340        0.4672             nan     0.1000   -0.0011
   360        0.4560             nan     0.1000   -0.0015
   380        0.4469             nan     0.1000   -0.0007
   400        0.4363             nan     0.1000   -0.0011
   420        0.4274             nan     0.1000   -0.0007
   440        0.4197             nan     0.1000   -0.0009
   460        0.4134             nan     0.1000   -0.0010
   480        0.4048             nan     0.1000   -0.0023
   500        0.3953             nan     0.1000   -0.0016
   520        0.3897             nan     0.1000   -0.0026
   540        0.3836             nan     0.1000   -0.0005
   560        0.3750             nan     0.1000   -0.0009
   580        0.3700             nan     0.1000   -0.0013
   600        0.3650             nan     0.1000   -0.0013
   620        0.3597             nan     0.1000   -0.0012
   640        0.3539             nan     0.1000   -0.0017
   660        0.3473             nan     0.1000   -0.0014
   680        0.3429             nan     0.1000   -0.0017
   700        0.3392             nan     0.1000   -0.0007
   720        0.3340             nan     0.1000   -0.0008
   740        0.3295             nan     0.1000   -0.0007
   760        0.3255             nan     0.1000   -0.0012
   780        0.3205             nan     0.1000   -0.0010
   800        0.3162             nan     0.1000   -0.0007
   820        0.3130             nan     0.1000   -0.0007
   840        0.3092             nan     0.1000   -0.0007
   860        0.3042             nan     0.1000   -0.0004
   880        0.3011             nan     0.1000   -0.0008
   900        0.2980             nan     0.1000   -0.0008
   920        0.2936             nan     0.1000   -0.0011
   940        0.2903             nan     0.1000   -0.0011
   960        0.2869             nan     0.1000   -0.0013
   980        0.2837             nan     0.1000   -0.0007
  1000        0.2798             nan     0.1000   -0.0010
  1020        0.2770             nan     0.1000   -0.0008
  1040        0.2740             nan     0.1000   -0.0005
  1060        0.2720             nan     0.1000   -0.0018
  1080        0.2693             nan     0.1000   -0.0012
  1100        0.2662             nan     0.1000   -0.0012

- Fold01.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3257             nan     0.0100    0.0031
     2        1.3200             nan     0.0100    0.0029
     3        1.3144             nan     0.0100    0.0029
     4        1.3089             nan     0.0100    0.0029
     5        1.3031             nan     0.0100    0.0028
     6        1.2973             nan     0.0100    0.0026
     7        1.2912             nan     0.0100    0.0024
     8        1.2861             nan     0.0100    0.0026
     9        1.2805             nan     0.0100    0.0025
    10        1.2752             nan     0.0100    0.0024
    20        1.2304             nan     0.0100    0.0021
    40        1.1598             nan     0.0100    0.0014
    60        1.1111             nan     0.0100    0.0010
    80        1.0752             nan     0.0100    0.0008
   100        1.0446             nan     0.0100    0.0006
   120        1.0213             nan     0.0100    0.0005
   140        1.0027             nan     0.0100    0.0003
   160        0.9860             nan     0.0100    0.0003
   180        0.9715             nan     0.0100    0.0003
   200        0.9583             nan     0.0100    0.0002
   220        0.9471             nan     0.0100    0.0001
   240        0.9369             nan     0.0100    0.0002
   260        0.9275             nan     0.0100    0.0001
   280        0.9196             nan     0.0100    0.0000
   300        0.9120             nan     0.0100    0.0001
   320        0.9053             nan     0.0100    0.0001
   340        0.8987             nan     0.0100    0.0001
   360        0.8929             nan     0.0100    0.0001
   380        0.8877             nan     0.0100    0.0000
   400        0.8831             nan     0.0100    0.0000
   420        0.8780             nan     0.0100    0.0001
   440        0.8738             nan     0.0100   -0.0001
   460        0.8697             nan     0.0100    0.0000
   480        0.8660             nan     0.0100    0.0000
   500        0.8616             nan     0.0100   -0.0000
   520        0.8577             nan     0.0100    0.0001
   540        0.8546             nan     0.0100    0.0000
   560        0.8515             nan     0.0100    0.0000
   580        0.8483             nan     0.0100    0.0000
   600        0.8450             nan     0.0100   -0.0000
   620        0.8424             nan     0.0100    0.0000
   640        0.8397             nan     0.0100   -0.0000
   660        0.8370             nan     0.0100   -0.0000
   680        0.8343             nan     0.0100   -0.0000
   700        0.8316             nan     0.0100   -0.0000
   720        0.8290             nan     0.0100    0.0000
   740        0.8266             nan     0.0100   -0.0000
   760        0.8245             nan     0.0100   -0.0001
   780        0.8223             nan     0.0100   -0.0001
   800        0.8202             nan     0.0100   -0.0001
   820        0.8183             nan     0.0100   -0.0000
   840        0.8166             nan     0.0100   -0.0000
   860        0.8148             nan     0.0100   -0.0000
   880        0.8127             nan     0.0100   -0.0000
   900        0.8111             nan     0.0100   -0.0001
   920        0.8094             nan     0.0100   -0.0001
   940        0.8076             nan     0.0100   -0.0000
   960        0.8061             nan     0.0100   -0.0001
   980        0.8046             nan     0.0100    0.0000
  1000        0.8034             nan     0.0100   -0.0000
  1020        0.8020             nan     0.0100   -0.0000
  1040        0.8006             nan     0.0100   -0.0001
  1060        0.7993             nan     0.0100   -0.0002
  1080        0.7981             nan     0.0100   -0.0001
  1100        0.7967             nan     0.0100   -0.0001

- Fold02.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3245             nan     0.0100    0.0038
     2        1.3171             nan     0.0100    0.0035
     3        1.3102             nan     0.0100    0.0036
     4        1.3032             nan     0.0100    0.0035
     5        1.2962             nan     0.0100    0.0035
     6        1.2893             nan     0.0100    0.0031
     7        1.2825             nan     0.0100    0.0032
     8        1.2758             nan     0.0100    0.0030
     9        1.2693             nan     0.0100    0.0032
    10        1.2631             nan     0.0100    0.0031
    20        1.2046             nan     0.0100    0.0026
    40        1.1163             nan     0.0100    0.0017
    60        1.0524             nan     0.0100    0.0012
    80        1.0043             nan     0.0100    0.0009
   100        0.9678             nan     0.0100    0.0007
   120        0.9390             nan     0.0100    0.0006
   140        0.9176             nan     0.0100    0.0005
   160        0.9002             nan     0.0100    0.0002
   180        0.8853             nan     0.0100    0.0001
   200        0.8723             nan     0.0100    0.0002
   220        0.8617             nan     0.0100    0.0001
   240        0.8523             nan     0.0100   -0.0001
   260        0.8428             nan     0.0100    0.0001
   280        0.8339             nan     0.0100    0.0002
   300        0.8259             nan     0.0100    0.0001
   320        0.8187             nan     0.0100   -0.0001
   340        0.8123             nan     0.0100    0.0000
   360        0.8065             nan     0.0100    0.0001
   380        0.8010             nan     0.0100   -0.0000
   400        0.7961             nan     0.0100    0.0001
   420        0.7914             nan     0.0100   -0.0000
   440        0.7867             nan     0.0100   -0.0000
   460        0.7822             nan     0.0100   -0.0001
   480        0.7785             nan     0.0100   -0.0000
   500        0.7745             nan     0.0100   -0.0001
   520        0.7711             nan     0.0100   -0.0001
   540        0.7678             nan     0.0100   -0.0001
   560        0.7644             nan     0.0100   -0.0000
   580        0.7614             nan     0.0100   -0.0001
   600        0.7584             nan     0.0100   -0.0001
   620        0.7559             nan     0.0100   -0.0001
   640        0.7528             nan     0.0100    0.0000
   660        0.7505             nan     0.0100   -0.0001
   680        0.7477             nan     0.0100   -0.0001
   700        0.7450             nan     0.0100   -0.0001
   720        0.7428             nan     0.0100   -0.0001
   740        0.7401             nan     0.0100   -0.0001
   760        0.7379             nan     0.0100   -0.0000
   780        0.7355             nan     0.0100   -0.0001
   800        0.7329             nan     0.0100   -0.0000
   820        0.7304             nan     0.0100   -0.0001
   840        0.7284             nan     0.0100   -0.0001
   860        0.7261             nan     0.0100   -0.0001
   880        0.7241             nan     0.0100   -0.0001
   900        0.7217             nan     0.0100   -0.0001
   920        0.7198             nan     0.0100   -0.0002
   940        0.7173             nan     0.0100   -0.0001
   960        0.7156             nan     0.0100   -0.0002
   980        0.7134             nan     0.0100   -0.0000
  1000        0.7114             nan     0.0100   -0.0001
  1020        0.7096             nan     0.0100   -0.0001
  1040        0.7079             nan     0.0100   -0.0000
  1060        0.7059             nan     0.0100   -0.0001
  1080        0.7036             nan     0.0100   -0.0001
  1100        0.7017             nan     0.0100   -0.0000

- Fold02.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3239             nan     0.0100    0.0040
     2        1.3158             nan     0.0100    0.0037
     3        1.3077             nan     0.0100    0.0038
     4        1.2992             nan     0.0100    0.0038
     5        1.2915             nan     0.0100    0.0034
     6        1.2833             nan     0.0100    0.0039
     7        1.2763             nan     0.0100    0.0035
     8        1.2689             nan     0.0100    0.0034
     9        1.2616             nan     0.0100    0.0034
    10        1.2548             nan     0.0100    0.0033
    20        1.1914             nan     0.0100    0.0028
    40        1.0960             nan     0.0100    0.0020
    60        1.0268             nan     0.0100    0.0015
    80        0.9740             nan     0.0100    0.0009
   100        0.9349             nan     0.0100    0.0007
   120        0.9042             nan     0.0100    0.0005
   140        0.8810             nan     0.0100    0.0002
   160        0.8623             nan     0.0100    0.0002
   180        0.8457             nan     0.0100    0.0003
   200        0.8318             nan     0.0100    0.0003
   220        0.8190             nan     0.0100    0.0001
   240        0.8085             nan     0.0100    0.0001
   260        0.7988             nan     0.0100   -0.0000
   280        0.7901             nan     0.0100    0.0001
   300        0.7828             nan     0.0100    0.0000
   320        0.7761             nan     0.0100   -0.0001
   340        0.7694             nan     0.0100   -0.0000
   360        0.7624             nan     0.0100    0.0000
   380        0.7557             nan     0.0100    0.0000
   400        0.7503             nan     0.0100   -0.0000
   420        0.7452             nan     0.0100   -0.0001
   440        0.7409             nan     0.0100   -0.0001
   460        0.7362             nan     0.0100   -0.0002
   480        0.7323             nan     0.0100   -0.0000
   500        0.7286             nan     0.0100   -0.0001
   520        0.7247             nan     0.0100   -0.0001
   540        0.7211             nan     0.0100   -0.0002
   560        0.7165             nan     0.0100    0.0000
   580        0.7133             nan     0.0100   -0.0002
   600        0.7094             nan     0.0100   -0.0001
   620        0.7054             nan     0.0100   -0.0000
   640        0.7014             nan     0.0100   -0.0001
   660        0.6979             nan     0.0100   -0.0001
   680        0.6946             nan     0.0100   -0.0001
   700        0.6913             nan     0.0100   -0.0001
   720        0.6879             nan     0.0100   -0.0001
   740        0.6848             nan     0.0100   -0.0001
   760        0.6819             nan     0.0100   -0.0002
   780        0.6788             nan     0.0100   -0.0001
   800        0.6762             nan     0.0100   -0.0002
   820        0.6732             nan     0.0100   -0.0001
   840        0.6711             nan     0.0100   -0.0002
   860        0.6682             nan     0.0100   -0.0001
   880        0.6653             nan     0.0100   -0.0002
   900        0.6632             nan     0.0100   -0.0000
   920        0.6608             nan     0.0100   -0.0001
   940        0.6582             nan     0.0100   -0.0002
   960        0.6554             nan     0.0100    0.0000
   980        0.6529             nan     0.0100   -0.0001
  1000        0.6506             nan     0.0100   -0.0001
  1020        0.6480             nan     0.0100   -0.0002
  1040        0.6457             nan     0.0100   -0.0001
  1060        0.6431             nan     0.0100   -0.0001
  1080        0.6414             nan     0.0100   -0.0001
  1100        0.6390             nan     0.0100   -0.0000

- Fold02.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2729             nan     0.1000    0.0272
     2        1.2284             nan     0.1000    0.0237
     3        1.1881             nan     0.1000    0.0188
     4        1.1604             nan     0.1000    0.0162
     5        1.1339             nan     0.1000    0.0124
     6        1.1084             nan     0.1000    0.0114
     7        1.0873             nan     0.1000    0.0091
     8        1.0697             nan     0.1000    0.0073
     9        1.0556             nan     0.1000    0.0067
    10        1.0428             nan     0.1000    0.0051
    20        0.9554             nan     0.1000    0.0008
    40        0.8809             nan     0.1000    0.0007
    60        0.8447             nan     0.1000    0.0002
    80        0.8223             nan     0.1000   -0.0015
   100        0.8045             nan     0.1000   -0.0010
   120        0.7932             nan     0.1000    0.0003
   140        0.7847             nan     0.1000   -0.0000
   160        0.7741             nan     0.1000   -0.0013
   180        0.7653             nan     0.1000   -0.0009
   200        0.7602             nan     0.1000   -0.0008
   220        0.7531             nan     0.1000   -0.0008
   240        0.7484             nan     0.1000   -0.0004
   260        0.7436             nan     0.1000   -0.0009
   280        0.7380             nan     0.1000   -0.0008
   300        0.7337             nan     0.1000   -0.0008
   320        0.7306             nan     0.1000   -0.0010
   340        0.7284             nan     0.1000   -0.0008
   360        0.7235             nan     0.1000   -0.0004
   380        0.7208             nan     0.1000   -0.0008
   400        0.7181             nan     0.1000   -0.0008
   420        0.7151             nan     0.1000   -0.0007
   440        0.7103             nan     0.1000   -0.0007
   460        0.7081             nan     0.1000   -0.0006
   480        0.7069             nan     0.1000   -0.0019
   500        0.7054             nan     0.1000   -0.0009
   520        0.7023             nan     0.1000   -0.0006
   540        0.7003             nan     0.1000   -0.0009
   560        0.6985             nan     0.1000   -0.0007
   580        0.6962             nan     0.1000   -0.0011
   600        0.6949             nan     0.1000   -0.0005
   620        0.6934             nan     0.1000   -0.0010
   640        0.6918             nan     0.1000   -0.0005
   660        0.6902             nan     0.1000   -0.0006
   680        0.6882             nan     0.1000   -0.0011
   700        0.6867             nan     0.1000   -0.0018
   720        0.6847             nan     0.1000   -0.0009
   740        0.6831             nan     0.1000   -0.0006
   760        0.6815             nan     0.1000   -0.0003
   780        0.6799             nan     0.1000   -0.0006
   800        0.6788             nan     0.1000   -0.0011
   820        0.6763             nan     0.1000   -0.0008
   840        0.6734             nan     0.1000   -0.0004
   860        0.6720             nan     0.1000   -0.0006
   880        0.6708             nan     0.1000   -0.0007
   900        0.6685             nan     0.1000   -0.0009
   920        0.6667             nan     0.1000   -0.0006
   940        0.6645             nan     0.1000   -0.0012
   960        0.6629             nan     0.1000   -0.0001
   980        0.6628             nan     0.1000   -0.0004
  1000        0.6607             nan     0.1000   -0.0007
  1020        0.6594             nan     0.1000   -0.0005
  1040        0.6579             nan     0.1000   -0.0003
  1060        0.6565             nan     0.1000   -0.0004
  1080        0.6549             nan     0.1000   -0.0004
  1100        0.6540             nan     0.1000   -0.0009

- Fold02.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2643             nan     0.1000    0.0350
     2        1.2107             nan     0.1000    0.0256
     3        1.1611             nan     0.1000    0.0255
     4        1.1210             nan     0.1000    0.0210
     5        1.0843             nan     0.1000    0.0174
     6        1.0591             nan     0.1000    0.0143
     7        1.0334             nan     0.1000    0.0135
     8        1.0079             nan     0.1000    0.0116
     9        0.9875             nan     0.1000    0.0082
    10        0.9683             nan     0.1000    0.0086
    20        0.8701             nan     0.1000    0.0012
    40        0.7989             nan     0.1000   -0.0002
    60        0.7634             nan     0.1000   -0.0006
    80        0.7362             nan     0.1000   -0.0007
   100        0.7168             nan     0.1000   -0.0009
   120        0.6975             nan     0.1000   -0.0013
   140        0.6834             nan     0.1000   -0.0018
   160        0.6656             nan     0.1000   -0.0005
   180        0.6526             nan     0.1000   -0.0014
   200        0.6405             nan     0.1000   -0.0010
   220        0.6296             nan     0.1000   -0.0010
   240        0.6181             nan     0.1000   -0.0009
   260        0.6043             nan     0.1000   -0.0008
   280        0.5946             nan     0.1000   -0.0009
   300        0.5834             nan     0.1000   -0.0004
   320        0.5758             nan     0.1000   -0.0006
   340        0.5673             nan     0.1000   -0.0009
   360        0.5598             nan     0.1000   -0.0004
   380        0.5531             nan     0.1000   -0.0004
   400        0.5465             nan     0.1000   -0.0011
   420        0.5388             nan     0.1000   -0.0012
   440        0.5326             nan     0.1000   -0.0005
   460        0.5266             nan     0.1000   -0.0011
   480        0.5225             nan     0.1000   -0.0007
   500        0.5160             nan     0.1000   -0.0005
   520        0.5115             nan     0.1000   -0.0005
   540        0.5058             nan     0.1000   -0.0003
   560        0.4985             nan     0.1000   -0.0005
   580        0.4945             nan     0.1000   -0.0016
   600        0.4889             nan     0.1000   -0.0005
   620        0.4825             nan     0.1000   -0.0007
   640        0.4790             nan     0.1000   -0.0011
   660        0.4752             nan     0.1000   -0.0015
   680        0.4696             nan     0.1000   -0.0009
   700        0.4652             nan     0.1000   -0.0009
   720        0.4614             nan     0.1000   -0.0014
   740        0.4567             nan     0.1000   -0.0007
   760        0.4529             nan     0.1000   -0.0006
   780        0.4490             nan     0.1000   -0.0012
   800        0.4457             nan     0.1000   -0.0008
   820        0.4424             nan     0.1000   -0.0010
   840        0.4380             nan     0.1000   -0.0010
   860        0.4321             nan     0.1000   -0.0007
   880        0.4288             nan     0.1000   -0.0005
   900        0.4259             nan     0.1000   -0.0006
   920        0.4223             nan     0.1000   -0.0004
   940        0.4196             nan     0.1000   -0.0007
   960        0.4161             nan     0.1000   -0.0009
   980        0.4129             nan     0.1000   -0.0006
  1000        0.4080             nan     0.1000   -0.0002
  1020        0.4043             nan     0.1000   -0.0005
  1040        0.4022             nan     0.1000   -0.0007
  1060        0.3977             nan     0.1000   -0.0014
  1080        0.3953             nan     0.1000   -0.0010
  1100        0.3932             nan     0.1000   -0.0006

- Fold02.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2578             nan     0.1000    0.0362
     2        1.1957             nan     0.1000    0.0305
     3        1.1439             nan     0.1000    0.0217
     4        1.1012             nan     0.1000    0.0212
     5        1.0573             nan     0.1000    0.0193
     6        1.0265             nan     0.1000    0.0161
     7        0.9970             nan     0.1000    0.0126
     8        0.9700             nan     0.1000    0.0104
     9        0.9525             nan     0.1000    0.0083
    10        0.9348             nan     0.1000    0.0074
    20        0.8335             nan     0.1000   -0.0007
    40        0.7553             nan     0.1000   -0.0001
    60        0.7200             nan     0.1000   -0.0017
    80        0.6849             nan     0.1000   -0.0009
   100        0.6577             nan     0.1000   -0.0008
   120        0.6393             nan     0.1000   -0.0026
   140        0.6170             nan     0.1000   -0.0003
   160        0.5988             nan     0.1000   -0.0011
   180        0.5772             nan     0.1000   -0.0011
   200        0.5591             nan     0.1000   -0.0012
   220        0.5436             nan     0.1000   -0.0018
   240        0.5313             nan     0.1000   -0.0006
   260        0.5148             nan     0.1000   -0.0001
   280        0.5048             nan     0.1000   -0.0024
   300        0.4945             nan     0.1000   -0.0007
   320        0.4845             nan     0.1000   -0.0016
   340        0.4713             nan     0.1000   -0.0011
   360        0.4635             nan     0.1000   -0.0010
   380        0.4536             nan     0.1000   -0.0011
   400        0.4449             nan     0.1000   -0.0012
   420        0.4374             nan     0.1000   -0.0008
   440        0.4289             nan     0.1000   -0.0004
   460        0.4218             nan     0.1000   -0.0009
   480        0.4144             nan     0.1000   -0.0003
   500        0.4059             nan     0.1000   -0.0010
   520        0.3974             nan     0.1000   -0.0008
   540        0.3903             nan     0.1000   -0.0010
   560        0.3828             nan     0.1000   -0.0008
   580        0.3771             nan     0.1000   -0.0002
   600        0.3680             nan     0.1000   -0.0008
   620        0.3609             nan     0.1000   -0.0009
   640        0.3543             nan     0.1000   -0.0012
   660        0.3498             nan     0.1000   -0.0019
   680        0.3453             nan     0.1000   -0.0015
   700        0.3393             nan     0.1000   -0.0005
   720        0.3319             nan     0.1000   -0.0016
   740        0.3282             nan     0.1000   -0.0009
   760        0.3235             nan     0.1000   -0.0010
   780        0.3188             nan     0.1000   -0.0010
   800        0.3142             nan     0.1000   -0.0005
   820        0.3103             nan     0.1000   -0.0010
   840        0.3054             nan     0.1000   -0.0013
   860        0.2997             nan     0.1000   -0.0009
   880        0.2962             nan     0.1000   -0.0009
   900        0.2932             nan     0.1000   -0.0008
   920        0.2893             nan     0.1000   -0.0009
   940        0.2860             nan     0.1000   -0.0006
   960        0.2835             nan     0.1000   -0.0006
   980        0.2792             nan     0.1000   -0.0012
  1000        0.2746             nan     0.1000   -0.0009
  1020        0.2704             nan     0.1000   -0.0011
  1040        0.2666             nan     0.1000   -0.0008
  1060        0.2636             nan     0.1000   -0.0008
  1080        0.2602             nan     0.1000   -0.0011
  1100        0.2584             nan     0.1000   -0.0007

- Fold02.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3253             nan     0.0100    0.0031
     2        1.3194             nan     0.0100    0.0029
     3        1.3132             nan     0.0100    0.0030
     4        1.3074             nan     0.0100    0.0028
     5        1.3013             nan     0.0100    0.0029
     6        1.2958             nan     0.0100    0.0026
     7        1.2905             nan     0.0100    0.0028
     8        1.2852             nan     0.0100    0.0026
     9        1.2796             nan     0.0100    0.0027
    10        1.2745             nan     0.0100    0.0025
    20        1.2282             nan     0.0100    0.0022
    40        1.1568             nan     0.0100    0.0014
    60        1.1055             nan     0.0100    0.0011
    80        1.0700             nan     0.0100    0.0008
   100        1.0385             nan     0.0100    0.0006
   120        1.0131             nan     0.0100    0.0005
   140        0.9926             nan     0.0100    0.0003
   160        0.9746             nan     0.0100    0.0004
   180        0.9590             nan     0.0100    0.0002
   200        0.9448             nan     0.0100    0.0003
   220        0.9319             nan     0.0100    0.0001
   240        0.9205             nan     0.0100    0.0002
   260        0.9109             nan     0.0100    0.0001
   280        0.9020             nan     0.0100    0.0001
   300        0.8932             nan     0.0100    0.0001
   320        0.8857             nan     0.0100   -0.0000
   340        0.8788             nan     0.0100    0.0001
   360        0.8731             nan     0.0100    0.0001
   380        0.8669             nan     0.0100    0.0001
   400        0.8615             nan     0.0100    0.0000
   420        0.8565             nan     0.0100    0.0000
   440        0.8520             nan     0.0100    0.0001
   460        0.8476             nan     0.0100   -0.0000
   480        0.8433             nan     0.0100   -0.0000
   500        0.8393             nan     0.0100    0.0001
   520        0.8352             nan     0.0100    0.0000
   540        0.8314             nan     0.0100    0.0000
   560        0.8280             nan     0.0100   -0.0000
   580        0.8249             nan     0.0100   -0.0000
   600        0.8216             nan     0.0100    0.0000
   620        0.8184             nan     0.0100    0.0000
   640        0.8157             nan     0.0100   -0.0000
   660        0.8130             nan     0.0100    0.0000
   680        0.8105             nan     0.0100   -0.0000
   700        0.8080             nan     0.0100   -0.0000
   720        0.8054             nan     0.0100    0.0000
   740        0.8032             nan     0.0100    0.0000
   760        0.8012             nan     0.0100    0.0000
   780        0.7990             nan     0.0100    0.0000
   800        0.7969             nan     0.0100   -0.0000
   820        0.7950             nan     0.0100   -0.0000
   840        0.7930             nan     0.0100   -0.0000
   860        0.7915             nan     0.0100   -0.0001
   880        0.7897             nan     0.0100   -0.0000
   900        0.7880             nan     0.0100   -0.0002
   920        0.7862             nan     0.0100   -0.0000
   940        0.7846             nan     0.0100   -0.0000
   960        0.7829             nan     0.0100    0.0000
   980        0.7812             nan     0.0100   -0.0000
  1000        0.7796             nan     0.0100   -0.0001
  1020        0.7780             nan     0.0100   -0.0000
  1040        0.7766             nan     0.0100   -0.0001
  1060        0.7753             nan     0.0100   -0.0001
  1080        0.7740             nan     0.0100   -0.0000
  1100        0.7724             nan     0.0100   -0.0001

- Fold03.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3240             nan     0.0100    0.0037
     2        1.3164             nan     0.0100    0.0035
     3        1.3085             nan     0.0100    0.0036
     4        1.3011             nan     0.0100    0.0037
     5        1.2935             nan     0.0100    0.0037
     6        1.2864             nan     0.0100    0.0034
     7        1.2791             nan     0.0100    0.0034
     8        1.2717             nan     0.0100    0.0033
     9        1.2651             nan     0.0100    0.0032
    10        1.2584             nan     0.0100    0.0030
    20        1.2005             nan     0.0100    0.0027
    40        1.1104             nan     0.0100    0.0019
    60        1.0445             nan     0.0100    0.0013
    80        0.9942             nan     0.0100    0.0010
   100        0.9571             nan     0.0100    0.0006
   120        0.9272             nan     0.0100    0.0006
   140        0.9035             nan     0.0100    0.0004
   160        0.8843             nan     0.0100    0.0003
   180        0.8685             nan     0.0100    0.0002
   200        0.8547             nan     0.0100    0.0002
   220        0.8423             nan     0.0100    0.0002
   240        0.8320             nan     0.0100    0.0000
   260        0.8228             nan     0.0100    0.0000
   280        0.8141             nan     0.0100    0.0000
   300        0.8071             nan     0.0100    0.0000
   320        0.8000             nan     0.0100   -0.0000
   340        0.7934             nan     0.0100    0.0000
   360        0.7880             nan     0.0100   -0.0000
   380        0.7826             nan     0.0100   -0.0001
   400        0.7768             nan     0.0100    0.0000
   420        0.7723             nan     0.0100    0.0000
   440        0.7679             nan     0.0100   -0.0000
   460        0.7633             nan     0.0100   -0.0001
   480        0.7589             nan     0.0100   -0.0000
   500        0.7554             nan     0.0100   -0.0001
   520        0.7519             nan     0.0100   -0.0001
   540        0.7485             nan     0.0100   -0.0000
   560        0.7451             nan     0.0100   -0.0001
   580        0.7421             nan     0.0100   -0.0001
   600        0.7391             nan     0.0100   -0.0001
   620        0.7363             nan     0.0100    0.0001
   640        0.7334             nan     0.0100   -0.0000
   660        0.7308             nan     0.0100   -0.0001
   680        0.7276             nan     0.0100   -0.0003
   700        0.7249             nan     0.0100   -0.0001
   720        0.7223             nan     0.0100   -0.0001
   740        0.7199             nan     0.0100   -0.0001
   760        0.7173             nan     0.0100   -0.0000
   780        0.7152             nan     0.0100   -0.0000
   800        0.7131             nan     0.0100   -0.0000
   820        0.7110             nan     0.0100   -0.0001
   840        0.7091             nan     0.0100   -0.0001
   860        0.7065             nan     0.0100   -0.0001
   880        0.7044             nan     0.0100   -0.0001
   900        0.7026             nan     0.0100   -0.0001
   920        0.7003             nan     0.0100   -0.0001
   940        0.6981             nan     0.0100   -0.0000
   960        0.6962             nan     0.0100   -0.0000
   980        0.6946             nan     0.0100   -0.0002
  1000        0.6927             nan     0.0100   -0.0001
  1020        0.6907             nan     0.0100   -0.0001
  1040        0.6888             nan     0.0100   -0.0001
  1060        0.6871             nan     0.0100   -0.0001
  1080        0.6851             nan     0.0100   -0.0001
  1100        0.6832             nan     0.0100   -0.0001

- Fold03.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3230             nan     0.0100    0.0042
     2        1.3142             nan     0.0100    0.0039
     3        1.3054             nan     0.0100    0.0039
     4        1.2976             nan     0.0100    0.0037
     5        1.2899             nan     0.0100    0.0038
     6        1.2820             nan     0.0100    0.0039
     7        1.2738             nan     0.0100    0.0039
     8        1.2667             nan     0.0100    0.0039
     9        1.2587             nan     0.0100    0.0039
    10        1.2514             nan     0.0100    0.0036
    20        1.1884             nan     0.0100    0.0026
    40        1.0886             nan     0.0100    0.0017
    60        1.0170             nan     0.0100    0.0014
    80        0.9632             nan     0.0100    0.0011
   100        0.9217             nan     0.0100    0.0008
   120        0.8908             nan     0.0100    0.0005
   140        0.8670             nan     0.0100    0.0002
   160        0.8472             nan     0.0100    0.0004
   180        0.8304             nan     0.0100    0.0003
   200        0.8160             nan     0.0100    0.0002
   220        0.8035             nan     0.0100    0.0001
   240        0.7926             nan     0.0100    0.0001
   260        0.7829             nan     0.0100    0.0000
   280        0.7747             nan     0.0100   -0.0000
   300        0.7672             nan     0.0100   -0.0001
   320        0.7609             nan     0.0100   -0.0000
   340        0.7537             nan     0.0100   -0.0000
   360        0.7469             nan     0.0100   -0.0000
   380        0.7415             nan     0.0100    0.0000
   400        0.7360             nan     0.0100   -0.0002
   420        0.7303             nan     0.0100    0.0000
   440        0.7262             nan     0.0100   -0.0000
   460        0.7217             nan     0.0100   -0.0001
   480        0.7173             nan     0.0100    0.0001
   500        0.7130             nan     0.0100   -0.0001
   520        0.7092             nan     0.0100   -0.0001
   540        0.7055             nan     0.0100   -0.0000
   560        0.7012             nan     0.0100   -0.0001
   580        0.6974             nan     0.0100   -0.0001
   600        0.6936             nan     0.0100   -0.0001
   620        0.6894             nan     0.0100   -0.0000
   640        0.6863             nan     0.0100   -0.0001
   660        0.6829             nan     0.0100   -0.0002
   680        0.6793             nan     0.0100   -0.0001
   700        0.6760             nan     0.0100   -0.0001
   720        0.6731             nan     0.0100   -0.0001
   740        0.6698             nan     0.0100   -0.0001
   760        0.6669             nan     0.0100   -0.0001
   780        0.6642             nan     0.0100   -0.0001
   800        0.6614             nan     0.0100   -0.0001
   820        0.6584             nan     0.0100   -0.0001
   840        0.6552             nan     0.0100   -0.0001
   860        0.6523             nan     0.0100    0.0000
   880        0.6494             nan     0.0100   -0.0001
   900        0.6468             nan     0.0100   -0.0001
   920        0.6445             nan     0.0100   -0.0001
   940        0.6423             nan     0.0100   -0.0001
   960        0.6398             nan     0.0100   -0.0001
   980        0.6374             nan     0.0100   -0.0002
  1000        0.6348             nan     0.0100   -0.0001
  1020        0.6324             nan     0.0100   -0.0000
  1040        0.6295             nan     0.0100   -0.0001
  1060        0.6269             nan     0.0100   -0.0002
  1080        0.6246             nan     0.0100   -0.0001
  1100        0.6222             nan     0.0100   -0.0002

- Fold03.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2717             nan     0.1000    0.0297
     2        1.2242             nan     0.1000    0.0244
     3        1.1826             nan     0.1000    0.0196
     4        1.1508             nan     0.1000    0.0156
     5        1.1276             nan     0.1000    0.0129
     6        1.1030             nan     0.1000    0.0115
     7        1.0881             nan     0.1000    0.0065
     8        1.0667             nan     0.1000    0.0083
     9        1.0509             nan     0.1000    0.0068
    10        1.0337             nan     0.1000    0.0069
    20        0.9410             nan     0.1000    0.0021
    40        0.8613             nan     0.1000    0.0010
    60        0.8201             nan     0.1000   -0.0001
    80        0.7963             nan     0.1000   -0.0002
   100        0.7812             nan     0.1000    0.0003
   120        0.7677             nan     0.1000   -0.0006
   140        0.7595             nan     0.1000   -0.0015
   160        0.7491             nan     0.1000   -0.0000
   180        0.7409             nan     0.1000   -0.0004
   200        0.7334             nan     0.1000   -0.0008
   220        0.7270             nan     0.1000   -0.0005
   240        0.7211             nan     0.1000   -0.0004
   260        0.7166             nan     0.1000   -0.0003
   280        0.7138             nan     0.1000   -0.0007
   300        0.7102             nan     0.1000   -0.0006
   320        0.7073             nan     0.1000   -0.0008
   340        0.7038             nan     0.1000   -0.0012
   360        0.7016             nan     0.1000   -0.0012
   380        0.6971             nan     0.1000   -0.0002
   400        0.6936             nan     0.1000   -0.0004
   420        0.6917             nan     0.1000   -0.0010
   440        0.6877             nan     0.1000   -0.0005
   460        0.6844             nan     0.1000   -0.0003
   480        0.6819             nan     0.1000   -0.0006
   500        0.6792             nan     0.1000   -0.0008
   520        0.6769             nan     0.1000   -0.0016
   540        0.6754             nan     0.1000   -0.0006
   560        0.6725             nan     0.1000   -0.0003
   580        0.6708             nan     0.1000   -0.0008
   600        0.6684             nan     0.1000   -0.0013
   620        0.6672             nan     0.1000   -0.0005
   640        0.6660             nan     0.1000   -0.0007
   660        0.6636             nan     0.1000   -0.0010
   680        0.6611             nan     0.1000   -0.0005
   700        0.6589             nan     0.1000   -0.0010
   720        0.6587             nan     0.1000   -0.0013
   740        0.6559             nan     0.1000   -0.0012
   760        0.6537             nan     0.1000   -0.0007
   780        0.6514             nan     0.1000   -0.0006
   800        0.6510             nan     0.1000   -0.0015
   820        0.6491             nan     0.1000   -0.0014
   840        0.6477             nan     0.1000   -0.0008
   860        0.6457             nan     0.1000   -0.0006
   880        0.6433             nan     0.1000   -0.0007
   900        0.6426             nan     0.1000   -0.0006
   920        0.6420             nan     0.1000   -0.0008
   940        0.6407             nan     0.1000   -0.0004
   960        0.6392             nan     0.1000   -0.0007
   980        0.6377             nan     0.1000   -0.0008
  1000        0.6367             nan     0.1000   -0.0006
  1020        0.6351             nan     0.1000   -0.0007
  1040        0.6339             nan     0.1000   -0.0007
  1060        0.6331             nan     0.1000   -0.0016
  1080        0.6312             nan     0.1000   -0.0003
  1100        0.6300             nan     0.1000   -0.0008

- Fold03.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2574             nan     0.1000    0.0355
     2        1.1965             nan     0.1000    0.0282
     3        1.1465             nan     0.1000    0.0263
     4        1.1040             nan     0.1000    0.0204
     5        1.0692             nan     0.1000    0.0179
     6        1.0368             nan     0.1000    0.0154
     7        1.0090             nan     0.1000    0.0124
     8        0.9849             nan     0.1000    0.0102
     9        0.9628             nan     0.1000    0.0092
    10        0.9447             nan     0.1000    0.0073
    20        0.8522             nan     0.1000    0.0021
    40        0.7773             nan     0.1000    0.0005
    60        0.7374             nan     0.1000   -0.0011
    80        0.7139             nan     0.1000   -0.0007
   100        0.6945             nan     0.1000   -0.0006
   120        0.6797             nan     0.1000   -0.0008
   140        0.6586             nan     0.1000   -0.0001
   160        0.6461             nan     0.1000   -0.0019
   180        0.6339             nan     0.1000   -0.0013
   200        0.6213             nan     0.1000   -0.0008
   220        0.6081             nan     0.1000   -0.0005
   240        0.6002             nan     0.1000   -0.0011
   260        0.5901             nan     0.1000   -0.0007
   280        0.5829             nan     0.1000   -0.0012
   300        0.5760             nan     0.1000   -0.0012
   320        0.5689             nan     0.1000   -0.0013
   340        0.5582             nan     0.1000   -0.0006
   360        0.5512             nan     0.1000   -0.0005
   380        0.5470             nan     0.1000   -0.0015
   400        0.5408             nan     0.1000   -0.0012
   420        0.5334             nan     0.1000   -0.0006
   440        0.5290             nan     0.1000   -0.0013
   460        0.5216             nan     0.1000   -0.0009
   480        0.5134             nan     0.1000   -0.0012
   500        0.5083             nan     0.1000   -0.0014
   520        0.5024             nan     0.1000   -0.0007
   540        0.4979             nan     0.1000   -0.0011
   560        0.4923             nan     0.1000   -0.0012
   580        0.4877             nan     0.1000   -0.0011
   600        0.4835             nan     0.1000   -0.0016
   620        0.4782             nan     0.1000   -0.0009
   640        0.4725             nan     0.1000   -0.0009
   660        0.4677             nan     0.1000   -0.0006
   680        0.4620             nan     0.1000   -0.0008
   700        0.4573             nan     0.1000   -0.0015
   720        0.4533             nan     0.1000   -0.0009
   740        0.4477             nan     0.1000   -0.0007
   760        0.4439             nan     0.1000   -0.0013
   780        0.4404             nan     0.1000   -0.0009
   800        0.4380             nan     0.1000   -0.0008
   820        0.4344             nan     0.1000   -0.0017
   840        0.4305             nan     0.1000   -0.0009
   860        0.4283             nan     0.1000   -0.0009
   880        0.4253             nan     0.1000   -0.0011
   900        0.4234             nan     0.1000   -0.0007
   920        0.4198             nan     0.1000   -0.0008
   940        0.4171             nan     0.1000   -0.0006
   960        0.4145             nan     0.1000   -0.0015
   980        0.4104             nan     0.1000   -0.0011
  1000        0.4066             nan     0.1000   -0.0010
  1020        0.4038             nan     0.1000   -0.0017
  1040        0.4016             nan     0.1000   -0.0004
  1060        0.3977             nan     0.1000   -0.0005
  1080        0.3954             nan     0.1000   -0.0014
  1100        0.3917             nan     0.1000   -0.0004

- Fold03.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2546             nan     0.1000    0.0402
     2        1.1934             nan     0.1000    0.0284
     3        1.1358             nan     0.1000    0.0270
     4        1.0856             nan     0.1000    0.0226
     5        1.0432             nan     0.1000    0.0193
     6        1.0087             nan     0.1000    0.0154
     7        0.9811             nan     0.1000    0.0138
     8        0.9581             nan     0.1000    0.0097
     9        0.9346             nan     0.1000    0.0091
    10        0.9171             nan     0.1000    0.0075
    20        0.8136             nan     0.1000    0.0023
    40        0.7362             nan     0.1000   -0.0011
    60        0.6975             nan     0.1000   -0.0004
    80        0.6691             nan     0.1000   -0.0006
   100        0.6430             nan     0.1000   -0.0023
   120        0.6196             nan     0.1000   -0.0006
   140        0.6001             nan     0.1000   -0.0009
   160        0.5804             nan     0.1000   -0.0010
   180        0.5646             nan     0.1000   -0.0003
   200        0.5479             nan     0.1000   -0.0008
   220        0.5350             nan     0.1000   -0.0024
   240        0.5215             nan     0.1000   -0.0009
   260        0.5090             nan     0.1000   -0.0014
   280        0.4985             nan     0.1000   -0.0017
   300        0.4877             nan     0.1000   -0.0016
   320        0.4761             nan     0.1000   -0.0009
   340        0.4628             nan     0.1000   -0.0011
   360        0.4528             nan     0.1000   -0.0015
   380        0.4467             nan     0.1000   -0.0017
   400        0.4379             nan     0.1000   -0.0009
   420        0.4319             nan     0.1000   -0.0011
   440        0.4238             nan     0.1000   -0.0005
   460        0.4160             nan     0.1000   -0.0010
   480        0.4071             nan     0.1000   -0.0007
   500        0.3997             nan     0.1000   -0.0016
   520        0.3929             nan     0.1000   -0.0008
   540        0.3857             nan     0.1000   -0.0009
   560        0.3818             nan     0.1000   -0.0011
   580        0.3751             nan     0.1000   -0.0010
   600        0.3700             nan     0.1000   -0.0020
   620        0.3627             nan     0.1000   -0.0005
   640        0.3576             nan     0.1000   -0.0009
   660        0.3512             nan     0.1000   -0.0007
   680        0.3469             nan     0.1000   -0.0010
   700        0.3419             nan     0.1000   -0.0005
   720        0.3368             nan     0.1000   -0.0005
   740        0.3332             nan     0.1000   -0.0011
   760        0.3295             nan     0.1000   -0.0015
   780        0.3251             nan     0.1000   -0.0014
   800        0.3209             nan     0.1000   -0.0011
   820        0.3170             nan     0.1000   -0.0006
   840        0.3112             nan     0.1000   -0.0006
   860        0.3081             nan     0.1000   -0.0008
   880        0.3047             nan     0.1000   -0.0009
   900        0.2996             nan     0.1000   -0.0008
   920        0.2963             nan     0.1000   -0.0008
   940        0.2914             nan     0.1000   -0.0008
   960        0.2874             nan     0.1000   -0.0008
   980        0.2839             nan     0.1000   -0.0007
  1000        0.2797             nan     0.1000   -0.0004
  1020        0.2769             nan     0.1000   -0.0006
  1040        0.2733             nan     0.1000   -0.0005
  1060        0.2700             nan     0.1000   -0.0006
  1080        0.2682             nan     0.1000   -0.0006
  1100        0.2647             nan     0.1000   -0.0014

- Fold03.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3252             nan     0.0100    0.0030
     2        1.3191             nan     0.0100    0.0029
     3        1.3135             nan     0.0100    0.0027
     4        1.3081             nan     0.0100    0.0027
     5        1.3026             nan     0.0100    0.0027
     6        1.2975             nan     0.0100    0.0027
     7        1.2926             nan     0.0100    0.0025
     8        1.2872             nan     0.0100    0.0026
     9        1.2819             nan     0.0100    0.0025
    10        1.2772             nan     0.0100    0.0025
    20        1.2336             nan     0.0100    0.0020
    40        1.1656             nan     0.0100    0.0014
    60        1.1184             nan     0.0100    0.0010
    80        1.0791             nan     0.0100    0.0008
   100        1.0480             nan     0.0100    0.0006
   120        1.0222             nan     0.0100    0.0005
   140        1.0010             nan     0.0100    0.0005
   160        0.9816             nan     0.0100    0.0004
   180        0.9657             nan     0.0100    0.0003
   200        0.9521             nan     0.0100    0.0003
   220        0.9393             nan     0.0100    0.0002
   240        0.9285             nan     0.0100    0.0002
   260        0.9191             nan     0.0100    0.0001
   280        0.9100             nan     0.0100    0.0002
   300        0.9020             nan     0.0100    0.0001
   320        0.8946             nan     0.0100    0.0001
   340        0.8874             nan     0.0100    0.0001
   360        0.8808             nan     0.0100    0.0001
   380        0.8752             nan     0.0100    0.0000
   400        0.8698             nan     0.0100    0.0001
   420        0.8648             nan     0.0100    0.0001
   440        0.8597             nan     0.0100    0.0001
   460        0.8552             nan     0.0100   -0.0000
   480        0.8504             nan     0.0100    0.0000
   500        0.8462             nan     0.0100    0.0001
   520        0.8422             nan     0.0100    0.0000
   540        0.8385             nan     0.0100   -0.0000
   560        0.8349             nan     0.0100    0.0000
   580        0.8311             nan     0.0100    0.0000
   600        0.8278             nan     0.0100    0.0000
   620        0.8247             nan     0.0100   -0.0000
   640        0.8219             nan     0.0100   -0.0000
   660        0.8190             nan     0.0100   -0.0000
   680        0.8164             nan     0.0100    0.0001
   700        0.8135             nan     0.0100    0.0000
   720        0.8109             nan     0.0100    0.0000
   740        0.8084             nan     0.0100   -0.0000
   760        0.8059             nan     0.0100    0.0000
   780        0.8035             nan     0.0100    0.0000
   800        0.8010             nan     0.0100   -0.0000
   820        0.7987             nan     0.0100   -0.0000
   840        0.7968             nan     0.0100   -0.0000
   860        0.7946             nan     0.0100   -0.0000
   880        0.7924             nan     0.0100    0.0000
   900        0.7908             nan     0.0100   -0.0000
   920        0.7892             nan     0.0100   -0.0001
   940        0.7874             nan     0.0100   -0.0001
   960        0.7856             nan     0.0100   -0.0000
   980        0.7839             nan     0.0100   -0.0000
  1000        0.7821             nan     0.0100    0.0000
  1020        0.7807             nan     0.0100    0.0000
  1040        0.7791             nan     0.0100   -0.0000
  1060        0.7773             nan     0.0100   -0.0000
  1080        0.7760             nan     0.0100   -0.0001
  1100        0.7747             nan     0.0100   -0.0000

- Fold04.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3240             nan     0.0100    0.0036
     2        1.3165             nan     0.0100    0.0036
     3        1.3091             nan     0.0100    0.0035
     4        1.3022             nan     0.0100    0.0033
     5        1.2954             nan     0.0100    0.0029
     6        1.2891             nan     0.0100    0.0033
     7        1.2824             nan     0.0100    0.0032
     8        1.2761             nan     0.0100    0.0032
     9        1.2698             nan     0.0100    0.0033
    10        1.2635             nan     0.0100    0.0030
    20        1.2070             nan     0.0100    0.0025
    40        1.1186             nan     0.0100    0.0018
    60        1.0550             nan     0.0100    0.0013
    80        1.0072             nan     0.0100    0.0007
   100        0.9691             nan     0.0100    0.0008
   120        0.9404             nan     0.0100    0.0007
   140        0.9160             nan     0.0100    0.0005
   160        0.8976             nan     0.0100    0.0003
   180        0.8815             nan     0.0100    0.0004
   200        0.8682             nan     0.0100    0.0002
   220        0.8547             nan     0.0100    0.0002
   240        0.8437             nan     0.0100    0.0003
   260        0.8339             nan     0.0100    0.0001
   280        0.8247             nan     0.0100    0.0002
   300        0.8167             nan     0.0100   -0.0002
   320        0.8089             nan     0.0100    0.0001
   340        0.8026             nan     0.0100    0.0000
   360        0.7960             nan     0.0100    0.0000
   380        0.7901             nan     0.0100    0.0000
   400        0.7848             nan     0.0100   -0.0001
   420        0.7795             nan     0.0100    0.0000
   440        0.7748             nan     0.0100    0.0000
   460        0.7702             nan     0.0100   -0.0000
   480        0.7662             nan     0.0100    0.0000
   500        0.7623             nan     0.0100    0.0000
   520        0.7587             nan     0.0100   -0.0001
   540        0.7551             nan     0.0100   -0.0001
   560        0.7511             nan     0.0100   -0.0000
   580        0.7481             nan     0.0100   -0.0001
   600        0.7452             nan     0.0100    0.0000
   620        0.7421             nan     0.0100    0.0000
   640        0.7392             nan     0.0100   -0.0001
   660        0.7363             nan     0.0100   -0.0000
   680        0.7338             nan     0.0100   -0.0000
   700        0.7309             nan     0.0100   -0.0000
   720        0.7279             nan     0.0100   -0.0001
   740        0.7254             nan     0.0100   -0.0000
   760        0.7230             nan     0.0100   -0.0000
   780        0.7204             nan     0.0100   -0.0001
   800        0.7179             nan     0.0100   -0.0001
   820        0.7153             nan     0.0100   -0.0001
   840        0.7131             nan     0.0100   -0.0001
   860        0.7111             nan     0.0100   -0.0001
   880        0.7089             nan     0.0100   -0.0001
   900        0.7066             nan     0.0100   -0.0002
   920        0.7043             nan     0.0100   -0.0000
   940        0.7020             nan     0.0100   -0.0001
   960        0.6998             nan     0.0100   -0.0000
   980        0.6978             nan     0.0100   -0.0001
  1000        0.6957             nan     0.0100   -0.0001
  1020        0.6938             nan     0.0100   -0.0001
  1040        0.6919             nan     0.0100   -0.0001
  1060        0.6901             nan     0.0100   -0.0001
  1080        0.6881             nan     0.0100   -0.0001
  1100        0.6863             nan     0.0100   -0.0001

- Fold04.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3230             nan     0.0100    0.0040
     2        1.3152             nan     0.0100    0.0040
     3        1.3068             nan     0.0100    0.0040
     4        1.2990             nan     0.0100    0.0037
     5        1.2916             nan     0.0100    0.0037
     6        1.2835             nan     0.0100    0.0035
     7        1.2755             nan     0.0100    0.0036
     8        1.2686             nan     0.0100    0.0036
     9        1.2611             nan     0.0100    0.0033
    10        1.2539             nan     0.0100    0.0032
    20        1.1919             nan     0.0100    0.0027
    40        1.0962             nan     0.0100    0.0015
    60        1.0268             nan     0.0100    0.0012
    80        0.9746             nan     0.0100    0.0011
   100        0.9333             nan     0.0100    0.0008
   120        0.9013             nan     0.0100    0.0006
   140        0.8766             nan     0.0100    0.0004
   160        0.8565             nan     0.0100    0.0003
   180        0.8401             nan     0.0100    0.0001
   200        0.8254             nan     0.0100    0.0002
   220        0.8127             nan     0.0100    0.0002
   240        0.8016             nan     0.0100    0.0000
   260        0.7926             nan     0.0100   -0.0001
   280        0.7839             nan     0.0100    0.0001
   300        0.7756             nan     0.0100    0.0000
   320        0.7679             nan     0.0100   -0.0001
   340        0.7607             nan     0.0100    0.0001
   360        0.7538             nan     0.0100   -0.0000
   380        0.7480             nan     0.0100   -0.0001
   400        0.7422             nan     0.0100   -0.0001
   420        0.7366             nan     0.0100   -0.0002
   440        0.7309             nan     0.0100   -0.0000
   460        0.7262             nan     0.0100   -0.0000
   480        0.7213             nan     0.0100   -0.0001
   500        0.7165             nan     0.0100   -0.0001
   520        0.7124             nan     0.0100   -0.0000
   540        0.7079             nan     0.0100    0.0000
   560        0.7039             nan     0.0100    0.0000
   580        0.7001             nan     0.0100   -0.0001
   600        0.6963             nan     0.0100   -0.0001
   620        0.6917             nan     0.0100   -0.0002
   640        0.6882             nan     0.0100   -0.0001
   660        0.6845             nan     0.0100    0.0000
   680        0.6810             nan     0.0100   -0.0002
   700        0.6773             nan     0.0100   -0.0000
   720        0.6737             nan     0.0100   -0.0000
   740        0.6704             nan     0.0100   -0.0002
   760        0.6673             nan     0.0100   -0.0001
   780        0.6645             nan     0.0100   -0.0000
   800        0.6619             nan     0.0100   -0.0002
   820        0.6589             nan     0.0100   -0.0000
   840        0.6559             nan     0.0100   -0.0002
   860        0.6526             nan     0.0100   -0.0000
   880        0.6500             nan     0.0100   -0.0002
   900        0.6474             nan     0.0100   -0.0001
   920        0.6442             nan     0.0100   -0.0001
   940        0.6416             nan     0.0100   -0.0001
   960        0.6394             nan     0.0100   -0.0001
   980        0.6366             nan     0.0100   -0.0001
  1000        0.6341             nan     0.0100   -0.0002
  1020        0.6317             nan     0.0100   -0.0001
  1040        0.6293             nan     0.0100   -0.0001
  1060        0.6268             nan     0.0100   -0.0001
  1080        0.6246             nan     0.0100   -0.0000
  1100        0.6223             nan     0.0100   -0.0001

- Fold04.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2702             nan     0.1000    0.0267
     2        1.2260             nan     0.1000    0.0229
     3        1.1902             nan     0.1000    0.0173
     4        1.1593             nan     0.1000    0.0157
     5        1.1323             nan     0.1000    0.0131
     6        1.1120             nan     0.1000    0.0085
     7        1.0902             nan     0.1000    0.0102
     8        1.0721             nan     0.1000    0.0084
     9        1.0566             nan     0.1000    0.0073
    10        1.0412             nan     0.1000    0.0071
    20        0.9502             nan     0.1000    0.0020
    40        0.8674             nan     0.1000    0.0008
    60        0.8292             nan     0.1000    0.0000
    80        0.8025             nan     0.1000   -0.0003
   100        0.7827             nan     0.1000   -0.0003
   120        0.7671             nan     0.1000   -0.0007
   140        0.7581             nan     0.1000   -0.0008
   160        0.7474             nan     0.1000   -0.0005
   180        0.7405             nan     0.1000   -0.0006
   200        0.7329             nan     0.1000   -0.0003
   220        0.7270             nan     0.1000   -0.0001
   240        0.7203             nan     0.1000   -0.0010
   260        0.7153             nan     0.1000   -0.0004
   280        0.7094             nan     0.1000   -0.0004
   300        0.7049             nan     0.1000   -0.0005
   320        0.6996             nan     0.1000   -0.0012
   340        0.6949             nan     0.1000   -0.0005
   360        0.6919             nan     0.1000   -0.0007
   380        0.6893             nan     0.1000   -0.0010
   400        0.6861             nan     0.1000   -0.0007
   420        0.6835             nan     0.1000   -0.0007
   440        0.6804             nan     0.1000   -0.0012
   460        0.6781             nan     0.1000   -0.0009
   480        0.6754             nan     0.1000   -0.0013
   500        0.6731             nan     0.1000   -0.0005
   520        0.6707             nan     0.1000   -0.0007
   540        0.6685             nan     0.1000   -0.0005
   560        0.6661             nan     0.1000   -0.0010
   580        0.6648             nan     0.1000   -0.0012
   600        0.6628             nan     0.1000   -0.0009
   620        0.6610             nan     0.1000   -0.0001
   640        0.6600             nan     0.1000   -0.0006
   660        0.6569             nan     0.1000   -0.0004
   680        0.6563             nan     0.1000   -0.0007
   700        0.6540             nan     0.1000   -0.0007
   720        0.6524             nan     0.1000   -0.0005
   740        0.6503             nan     0.1000   -0.0013
   760        0.6489             nan     0.1000   -0.0009
   780        0.6470             nan     0.1000   -0.0005
   800        0.6452             nan     0.1000   -0.0012
   820        0.6441             nan     0.1000   -0.0006
   840        0.6416             nan     0.1000   -0.0004
   860        0.6407             nan     0.1000   -0.0006
   880        0.6393             nan     0.1000   -0.0010
   900        0.6373             nan     0.1000   -0.0013
   920        0.6364             nan     0.1000   -0.0008
   940        0.6349             nan     0.1000   -0.0008
   960        0.6330             nan     0.1000   -0.0013
   980        0.6317             nan     0.1000   -0.0004
  1000        0.6290             nan     0.1000   -0.0003
  1020        0.6293             nan     0.1000   -0.0008
  1040        0.6279             nan     0.1000   -0.0009
  1060        0.6254             nan     0.1000   -0.0009
  1080        0.6244             nan     0.1000   -0.0010
  1100        0.6229             nan     0.1000   -0.0003

- Fold04.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2567             nan     0.1000    0.0319
     2        1.1937             nan     0.1000    0.0294
     3        1.1440             nan     0.1000    0.0238
     4        1.1071             nan     0.1000    0.0200
     5        1.0731             nan     0.1000    0.0162
     6        1.0473             nan     0.1000    0.0128
     7        1.0230             nan     0.1000    0.0125
     8        0.9993             nan     0.1000    0.0102
     9        0.9808             nan     0.1000    0.0088
    10        0.9626             nan     0.1000    0.0080
    20        0.8622             nan     0.1000    0.0013
    40        0.7827             nan     0.1000    0.0001
    60        0.7427             nan     0.1000   -0.0008
    80        0.7129             nan     0.1000   -0.0008
   100        0.6941             nan     0.1000   -0.0006
   120        0.6738             nan     0.1000   -0.0011
   140        0.6604             nan     0.1000   -0.0010
   160        0.6466             nan     0.1000   -0.0012
   180        0.6352             nan     0.1000   -0.0010
   200        0.6238             nan     0.1000   -0.0010
   220        0.6168             nan     0.1000   -0.0005
   240        0.6062             nan     0.1000   -0.0007
   260        0.5966             nan     0.1000   -0.0028
   280        0.5876             nan     0.1000   -0.0012
   300        0.5780             nan     0.1000   -0.0002
   320        0.5671             nan     0.1000   -0.0009
   340        0.5613             nan     0.1000   -0.0011
   360        0.5528             nan     0.1000   -0.0012
   380        0.5453             nan     0.1000   -0.0008
   400        0.5388             nan     0.1000   -0.0018
   420        0.5338             nan     0.1000   -0.0005
   440        0.5270             nan     0.1000   -0.0013
   460        0.5182             nan     0.1000   -0.0006
   480        0.5126             nan     0.1000   -0.0006
   500        0.5063             nan     0.1000   -0.0010
   520        0.5004             nan     0.1000   -0.0014
   540        0.4935             nan     0.1000   -0.0012
   560        0.4864             nan     0.1000   -0.0005
   580        0.4832             nan     0.1000   -0.0017
   600        0.4760             nan     0.1000   -0.0011
   620        0.4710             nan     0.1000   -0.0012
   640        0.4658             nan     0.1000   -0.0012
   660        0.4596             nan     0.1000   -0.0009
   680        0.4552             nan     0.1000   -0.0007
   700        0.4498             nan     0.1000   -0.0010
   720        0.4467             nan     0.1000   -0.0015
   740        0.4420             nan     0.1000   -0.0006
   760        0.4379             nan     0.1000   -0.0005
   780        0.4319             nan     0.1000   -0.0011
   800        0.4299             nan     0.1000   -0.0011
   820        0.4272             nan     0.1000   -0.0005
   840        0.4230             nan     0.1000   -0.0006
   860        0.4177             nan     0.1000   -0.0006
   880        0.4149             nan     0.1000   -0.0008
   900        0.4121             nan     0.1000   -0.0006
   920        0.4081             nan     0.1000   -0.0008
   940        0.4045             nan     0.1000   -0.0007
   960        0.4003             nan     0.1000   -0.0014
   980        0.3974             nan     0.1000   -0.0010
  1000        0.3938             nan     0.1000   -0.0007
  1020        0.3898             nan     0.1000   -0.0008
  1040        0.3862             nan     0.1000   -0.0009
  1060        0.3833             nan     0.1000   -0.0008
  1080        0.3806             nan     0.1000   -0.0009
  1100        0.3777             nan     0.1000   -0.0009

- Fold04.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2540             nan     0.1000    0.0406
     2        1.1888             nan     0.1000    0.0309
     3        1.1378             nan     0.1000    0.0240
     4        1.0924             nan     0.1000    0.0218
     5        1.0554             nan     0.1000    0.0185
     6        1.0220             nan     0.1000    0.0173
     7        0.9935             nan     0.1000    0.0125
     8        0.9718             nan     0.1000    0.0110
     9        0.9519             nan     0.1000    0.0092
    10        0.9347             nan     0.1000    0.0080
    20        0.8225             nan     0.1000    0.0019
    40        0.7432             nan     0.1000   -0.0007
    60        0.6975             nan     0.1000    0.0005
    80        0.6624             nan     0.1000   -0.0005
   100        0.6349             nan     0.1000   -0.0020
   120        0.6149             nan     0.1000   -0.0011
   140        0.5922             nan     0.1000   -0.0008
   160        0.5744             nan     0.1000   -0.0009
   180        0.5621             nan     0.1000   -0.0010
   200        0.5455             nan     0.1000   -0.0021
   220        0.5329             nan     0.1000   -0.0006
   240        0.5191             nan     0.1000   -0.0009
   260        0.5033             nan     0.1000   -0.0015
   280        0.4922             nan     0.1000   -0.0005
   300        0.4823             nan     0.1000   -0.0010
   320        0.4679             nan     0.1000   -0.0017
   340        0.4557             nan     0.1000   -0.0012
   360        0.4482             nan     0.1000   -0.0012
   380        0.4405             nan     0.1000   -0.0018
   400        0.4317             nan     0.1000   -0.0013
   420        0.4212             nan     0.1000   -0.0009
   440        0.4134             nan     0.1000   -0.0005
   460        0.4049             nan     0.1000   -0.0011
   480        0.3976             nan     0.1000   -0.0020
   500        0.3914             nan     0.1000   -0.0018
   520        0.3839             nan     0.1000   -0.0005
   540        0.3768             nan     0.1000   -0.0010
   560        0.3706             nan     0.1000   -0.0007
   580        0.3635             nan     0.1000   -0.0007
   600        0.3569             nan     0.1000   -0.0008
   620        0.3506             nan     0.1000   -0.0006
   640        0.3463             nan     0.1000   -0.0007
   660        0.3399             nan     0.1000   -0.0008
   680        0.3340             nan     0.1000   -0.0011
   700        0.3298             nan     0.1000   -0.0010
   720        0.3229             nan     0.1000   -0.0010
   740        0.3190             nan     0.1000   -0.0013
   760        0.3147             nan     0.1000   -0.0006
   780        0.3089             nan     0.1000   -0.0011
   800        0.3049             nan     0.1000   -0.0016
   820        0.3011             nan     0.1000   -0.0015
   840        0.2971             nan     0.1000   -0.0003
   860        0.2927             nan     0.1000   -0.0009
   880        0.2888             nan     0.1000   -0.0008
   900        0.2844             nan     0.1000   -0.0008
   920        0.2806             nan     0.1000   -0.0008
   940        0.2764             nan     0.1000   -0.0006
   960        0.2723             nan     0.1000   -0.0013
   980        0.2677             nan     0.1000   -0.0010
  1000        0.2645             nan     0.1000   -0.0009
  1020        0.2619             nan     0.1000   -0.0005
  1040        0.2588             nan     0.1000   -0.0009
  1060        0.2560             nan     0.1000   -0.0005
  1080        0.2533             nan     0.1000   -0.0010
  1100        0.2501             nan     0.1000   -0.0009

- Fold04.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3254             nan     0.0100    0.0028
     2        1.3197             nan     0.0100    0.0028
     3        1.3145             nan     0.0100    0.0028
     4        1.3091             nan     0.0100    0.0028
     5        1.3037             nan     0.0100    0.0026
     6        1.2986             nan     0.0100    0.0026
     7        1.2930             nan     0.0100    0.0025
     8        1.2884             nan     0.0100    0.0025
     9        1.2834             nan     0.0100    0.0025
    10        1.2786             nan     0.0100    0.0024
    20        1.2342             nan     0.0100    0.0020
    40        1.1670             nan     0.0100    0.0014
    60        1.1203             nan     0.0100    0.0010
    80        1.0834             nan     0.0100    0.0007
   100        1.0529             nan     0.0100    0.0006
   120        1.0282             nan     0.0100    0.0005
   140        1.0069             nan     0.0100    0.0003
   160        0.9888             nan     0.0100    0.0003
   180        0.9732             nan     0.0100    0.0002
   200        0.9603             nan     0.0100    0.0003
   220        0.9481             nan     0.0100    0.0002
   240        0.9379             nan     0.0100   -0.0000
   260        0.9280             nan     0.0100    0.0001
   280        0.9197             nan     0.0100    0.0000
   300        0.9114             nan     0.0100    0.0001
   320        0.9043             nan     0.0100    0.0001
   340        0.8986             nan     0.0100    0.0001
   360        0.8924             nan     0.0100    0.0001
   380        0.8871             nan     0.0100    0.0000
   400        0.8823             nan     0.0100    0.0000
   420        0.8775             nan     0.0100    0.0000
   440        0.8734             nan     0.0100    0.0001
   460        0.8690             nan     0.0100   -0.0000
   480        0.8644             nan     0.0100   -0.0000
   500        0.8601             nan     0.0100   -0.0000
   520        0.8565             nan     0.0100    0.0001
   540        0.8531             nan     0.0100    0.0000
   560        0.8497             nan     0.0100    0.0000
   580        0.8469             nan     0.0100    0.0000
   600        0.8438             nan     0.0100   -0.0000
   620        0.8406             nan     0.0100   -0.0000
   640        0.8379             nan     0.0100    0.0000
   660        0.8350             nan     0.0100    0.0000
   680        0.8326             nan     0.0100   -0.0000
   700        0.8301             nan     0.0100   -0.0000
   720        0.8275             nan     0.0100    0.0000
   740        0.8253             nan     0.0100    0.0000
   760        0.8232             nan     0.0100   -0.0000
   780        0.8209             nan     0.0100   -0.0000
   800        0.8187             nan     0.0100   -0.0001
   820        0.8167             nan     0.0100   -0.0002
   840        0.8146             nan     0.0100   -0.0000
   860        0.8127             nan     0.0100    0.0000
   880        0.8109             nan     0.0100   -0.0001
   900        0.8093             nan     0.0100   -0.0000
   920        0.8071             nan     0.0100   -0.0000
   940        0.8053             nan     0.0100   -0.0000
   960        0.8033             nan     0.0100   -0.0001
   980        0.8016             nan     0.0100   -0.0000
  1000        0.8002             nan     0.0100   -0.0000
  1020        0.7986             nan     0.0100   -0.0001
  1040        0.7970             nan     0.0100   -0.0000
  1060        0.7954             nan     0.0100   -0.0001
  1080        0.7940             nan     0.0100   -0.0000
  1100        0.7926             nan     0.0100   -0.0001

- Fold05.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3243             nan     0.0100    0.0036
     2        1.3169             nan     0.0100    0.0034
     3        1.3099             nan     0.0100    0.0035
     4        1.3031             nan     0.0100    0.0033
     5        1.2966             nan     0.0100    0.0033
     6        1.2902             nan     0.0100    0.0030
     7        1.2839             nan     0.0100    0.0033
     8        1.2773             nan     0.0100    0.0033
     9        1.2712             nan     0.0100    0.0029
    10        1.2655             nan     0.0100    0.0027
    20        1.2094             nan     0.0100    0.0026
    40        1.1232             nan     0.0100    0.0018
    60        1.0598             nan     0.0100    0.0011
    80        1.0124             nan     0.0100    0.0010
   100        0.9749             nan     0.0100    0.0007
   120        0.9466             nan     0.0100    0.0005
   140        0.9229             nan     0.0100    0.0003
   160        0.9036             nan     0.0100    0.0002
   180        0.8875             nan     0.0100    0.0003
   200        0.8744             nan     0.0100    0.0001
   220        0.8628             nan     0.0100    0.0001
   240        0.8524             nan     0.0100    0.0001
   260        0.8432             nan     0.0100    0.0001
   280        0.8335             nan     0.0100    0.0001
   300        0.8260             nan     0.0100    0.0001
   320        0.8195             nan     0.0100   -0.0001
   340        0.8133             nan     0.0100    0.0000
   360        0.8068             nan     0.0100    0.0001
   380        0.8012             nan     0.0100    0.0001
   400        0.7961             nan     0.0100    0.0000
   420        0.7913             nan     0.0100   -0.0001
   440        0.7868             nan     0.0100   -0.0000
   460        0.7827             nan     0.0100    0.0000
   480        0.7787             nan     0.0100   -0.0000
   500        0.7746             nan     0.0100   -0.0001
   520        0.7713             nan     0.0100   -0.0000
   540        0.7680             nan     0.0100   -0.0001
   560        0.7643             nan     0.0100   -0.0000
   580        0.7609             nan     0.0100   -0.0000
   600        0.7576             nan     0.0100   -0.0001
   620        0.7546             nan     0.0100   -0.0001
   640        0.7516             nan     0.0100   -0.0001
   660        0.7488             nan     0.0100   -0.0001
   680        0.7458             nan     0.0100   -0.0000
   700        0.7430             nan     0.0100   -0.0001
   720        0.7404             nan     0.0100   -0.0001
   740        0.7383             nan     0.0100   -0.0002
   760        0.7354             nan     0.0100   -0.0002
   780        0.7328             nan     0.0100   -0.0001
   800        0.7300             nan     0.0100   -0.0000
   820        0.7275             nan     0.0100   -0.0002
   840        0.7252             nan     0.0100   -0.0001
   860        0.7230             nan     0.0100   -0.0001
   880        0.7209             nan     0.0100   -0.0000
   900        0.7188             nan     0.0100   -0.0001
   920        0.7163             nan     0.0100   -0.0001
   940        0.7142             nan     0.0100   -0.0001
   960        0.7124             nan     0.0100   -0.0000
   980        0.7104             nan     0.0100   -0.0001
  1000        0.7084             nan     0.0100   -0.0001
  1020        0.7062             nan     0.0100   -0.0001
  1040        0.7041             nan     0.0100   -0.0001
  1060        0.7026             nan     0.0100   -0.0000
  1080        0.7009             nan     0.0100   -0.0000
  1100        0.6992             nan     0.0100   -0.0000

- Fold05.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3230             nan     0.0100    0.0039
     2        1.3143             nan     0.0100    0.0033
     3        1.3068             nan     0.0100    0.0038
     4        1.2992             nan     0.0100    0.0036
     5        1.2915             nan     0.0100    0.0041
     6        1.2841             nan     0.0100    0.0035
     7        1.2772             nan     0.0100    0.0033
     8        1.2698             nan     0.0100    0.0033
     9        1.2628             nan     0.0100    0.0034
    10        1.2560             nan     0.0100    0.0032
    20        1.1943             nan     0.0100    0.0025
    40        1.0999             nan     0.0100    0.0020
    60        1.0294             nan     0.0100    0.0013
    80        0.9779             nan     0.0100    0.0008
   100        0.9378             nan     0.0100    0.0009
   120        0.9073             nan     0.0100    0.0006
   140        0.8834             nan     0.0100    0.0005
   160        0.8630             nan     0.0100    0.0003
   180        0.8471             nan     0.0100    0.0002
   200        0.8327             nan     0.0100    0.0001
   220        0.8211             nan     0.0100    0.0001
   240        0.8103             nan     0.0100   -0.0001
   260        0.8001             nan     0.0100    0.0001
   280        0.7915             nan     0.0100    0.0001
   300        0.7832             nan     0.0100   -0.0002
   320        0.7759             nan     0.0100   -0.0001
   340        0.7699             nan     0.0100   -0.0002
   360        0.7639             nan     0.0100   -0.0001
   380        0.7578             nan     0.0100   -0.0000
   400        0.7522             nan     0.0100   -0.0000
   420        0.7467             nan     0.0100    0.0001
   440        0.7415             nan     0.0100   -0.0001
   460        0.7374             nan     0.0100   -0.0001
   480        0.7329             nan     0.0100   -0.0001
   500        0.7282             nan     0.0100   -0.0000
   520        0.7241             nan     0.0100   -0.0001
   540        0.7198             nan     0.0100   -0.0001
   560        0.7158             nan     0.0100    0.0000
   580        0.7121             nan     0.0100   -0.0001
   600        0.7086             nan     0.0100   -0.0000
   620        0.7044             nan     0.0100   -0.0003
   640        0.7007             nan     0.0100   -0.0000
   660        0.6975             nan     0.0100   -0.0002
   680        0.6942             nan     0.0100   -0.0002
   700        0.6910             nan     0.0100   -0.0000
   720        0.6876             nan     0.0100   -0.0001
   740        0.6850             nan     0.0100   -0.0000
   760        0.6821             nan     0.0100   -0.0002
   780        0.6796             nan     0.0100   -0.0000
   800        0.6764             nan     0.0100   -0.0000
   820        0.6735             nan     0.0100   -0.0001
   840        0.6712             nan     0.0100   -0.0002
   860        0.6684             nan     0.0100   -0.0001
   880        0.6657             nan     0.0100   -0.0001
   900        0.6630             nan     0.0100   -0.0001
   920        0.6601             nan     0.0100   -0.0001
   940        0.6581             nan     0.0100   -0.0001
   960        0.6551             nan     0.0100   -0.0001
   980        0.6527             nan     0.0100   -0.0002
  1000        0.6503             nan     0.0100   -0.0002
  1020        0.6479             nan     0.0100   -0.0001
  1040        0.6453             nan     0.0100   -0.0001
  1060        0.6423             nan     0.0100   -0.0001
  1080        0.6399             nan     0.0100   -0.0001
  1100        0.6375             nan     0.0100   -0.0001

- Fold05.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2759             nan     0.1000    0.0269
     2        1.2310             nan     0.1000    0.0210
     3        1.1922             nan     0.1000    0.0185
     4        1.1619             nan     0.1000    0.0144
     5        1.1336             nan     0.1000    0.0125
     6        1.1114             nan     0.1000    0.0102
     7        1.0939             nan     0.1000    0.0083
     8        1.0791             nan     0.1000    0.0064
     9        1.0594             nan     0.1000    0.0078
    10        1.0436             nan     0.1000    0.0070
    20        0.9526             nan     0.1000    0.0029
    40        0.8769             nan     0.1000    0.0010
    60        0.8379             nan     0.1000   -0.0005
    80        0.8155             nan     0.1000   -0.0007
   100        0.8007             nan     0.1000   -0.0010
   120        0.7854             nan     0.1000   -0.0010
   140        0.7755             nan     0.1000   -0.0002
   160        0.7668             nan     0.1000   -0.0001
   180        0.7597             nan     0.1000   -0.0006
   200        0.7534             nan     0.1000   -0.0006
   220        0.7450             nan     0.1000   -0.0012
   240        0.7393             nan     0.1000   -0.0012
   260        0.7342             nan     0.1000   -0.0012
   280        0.7303             nan     0.1000   -0.0006
   300        0.7271             nan     0.1000   -0.0005
   320        0.7229             nan     0.1000   -0.0005
   340        0.7194             nan     0.1000   -0.0010
   360        0.7167             nan     0.1000   -0.0010
   380        0.7123             nan     0.1000   -0.0005
   400        0.7092             nan     0.1000   -0.0009
   420        0.7075             nan     0.1000   -0.0009
   440        0.7049             nan     0.1000   -0.0008
   460        0.7021             nan     0.1000   -0.0009
   480        0.6997             nan     0.1000   -0.0007
   500        0.6975             nan     0.1000   -0.0005
   520        0.6951             nan     0.1000   -0.0006
   540        0.6923             nan     0.1000   -0.0007
   560        0.6903             nan     0.1000   -0.0007
   580        0.6881             nan     0.1000   -0.0009
   600        0.6858             nan     0.1000   -0.0003
   620        0.6847             nan     0.1000   -0.0007
   640        0.6826             nan     0.1000   -0.0006
   660        0.6803             nan     0.1000   -0.0010
   680        0.6776             nan     0.1000   -0.0005
   700        0.6753             nan     0.1000   -0.0008
   720        0.6740             nan     0.1000   -0.0006
   740        0.6717             nan     0.1000   -0.0006
   760        0.6705             nan     0.1000   -0.0008
   780        0.6684             nan     0.1000   -0.0009
   800        0.6663             nan     0.1000   -0.0007
   820        0.6645             nan     0.1000   -0.0011
   840        0.6617             nan     0.1000   -0.0008
   860        0.6601             nan     0.1000   -0.0006
   880        0.6602             nan     0.1000   -0.0006
   900        0.6579             nan     0.1000   -0.0008
   920        0.6553             nan     0.1000   -0.0012
   940        0.6540             nan     0.1000   -0.0009
   960        0.6519             nan     0.1000   -0.0008
   980        0.6499             nan     0.1000   -0.0009
  1000        0.6480             nan     0.1000   -0.0006
  1020        0.6467             nan     0.1000   -0.0006
  1040        0.6464             nan     0.1000   -0.0007
  1060        0.6441             nan     0.1000   -0.0006
  1080        0.6429             nan     0.1000   -0.0006
  1100        0.6410             nan     0.1000   -0.0006

- Fold05.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2608             nan     0.1000    0.0345
     2        1.2007             nan     0.1000    0.0278
     3        1.1551             nan     0.1000    0.0216
     4        1.1142             nan     0.1000    0.0209
     5        1.0817             nan     0.1000    0.0169
     6        1.0516             nan     0.1000    0.0143
     7        1.0255             nan     0.1000    0.0117
     8        1.0009             nan     0.1000    0.0085
     9        0.9819             nan     0.1000    0.0095
    10        0.9654             nan     0.1000    0.0075
    20        0.8772             nan     0.1000    0.0021
    40        0.7963             nan     0.1000    0.0004
    60        0.7576             nan     0.1000   -0.0001
    80        0.7322             nan     0.1000   -0.0005
   100        0.7152             nan     0.1000   -0.0009
   120        0.6981             nan     0.1000   -0.0010
   140        0.6807             nan     0.1000   -0.0009
   160        0.6631             nan     0.1000   -0.0007
   180        0.6470             nan     0.1000   -0.0004
   200        0.6355             nan     0.1000   -0.0011
   220        0.6258             nan     0.1000   -0.0012
   240        0.6186             nan     0.1000   -0.0011
   260        0.6094             nan     0.1000   -0.0003
   280        0.5968             nan     0.1000   -0.0008
   300        0.5862             nan     0.1000   -0.0017
   320        0.5779             nan     0.1000   -0.0006
   340        0.5686             nan     0.1000   -0.0012
   360        0.5582             nan     0.1000   -0.0016
   380        0.5487             nan     0.1000   -0.0012
   400        0.5386             nan     0.1000   -0.0004
   420        0.5330             nan     0.1000   -0.0003
   440        0.5260             nan     0.1000   -0.0025
   460        0.5193             nan     0.1000   -0.0016
   480        0.5133             nan     0.1000   -0.0005
   500        0.5079             nan     0.1000   -0.0015
   520        0.5033             nan     0.1000   -0.0007
   540        0.4969             nan     0.1000   -0.0011
   560        0.4914             nan     0.1000   -0.0008
   580        0.4866             nan     0.1000   -0.0006
   600        0.4820             nan     0.1000   -0.0008
   620        0.4754             nan     0.1000   -0.0010
   640        0.4670             nan     0.1000   -0.0011
   660        0.4607             nan     0.1000   -0.0009
   680        0.4573             nan     0.1000   -0.0008
   700        0.4542             nan     0.1000   -0.0008
   720        0.4493             nan     0.1000   -0.0006
   740        0.4467             nan     0.1000   -0.0008
   760        0.4423             nan     0.1000   -0.0006
   780        0.4382             nan     0.1000   -0.0016
   800        0.4350             nan     0.1000   -0.0005
   820        0.4298             nan     0.1000   -0.0003
   840        0.4260             nan     0.1000   -0.0006
   860        0.4199             nan     0.1000   -0.0010
   880        0.4156             nan     0.1000   -0.0012
   900        0.4130             nan     0.1000   -0.0008
   920        0.4096             nan     0.1000   -0.0007
   940        0.4049             nan     0.1000   -0.0012
   960        0.4019             nan     0.1000   -0.0011
   980        0.3995             nan     0.1000   -0.0011
  1000        0.3960             nan     0.1000   -0.0007
  1020        0.3941             nan     0.1000   -0.0006
  1040        0.3921             nan     0.1000   -0.0011
  1060        0.3882             nan     0.1000   -0.0011
  1080        0.3847             nan     0.1000   -0.0006
  1100        0.3806             nan     0.1000   -0.0014

- Fold05.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2552             nan     0.1000    0.0337
     2        1.1903             nan     0.1000    0.0303
     3        1.1356             nan     0.1000    0.0253
     4        1.0917             nan     0.1000    0.0227
     5        1.0573             nan     0.1000    0.0171
     6        1.0233             nan     0.1000    0.0164
     7        0.9950             nan     0.1000    0.0123
     8        0.9684             nan     0.1000    0.0099
     9        0.9469             nan     0.1000    0.0089
    10        0.9265             nan     0.1000    0.0072
    20        0.8298             nan     0.1000    0.0015
    40        0.7508             nan     0.1000   -0.0010
    60        0.7061             nan     0.1000   -0.0008
    80        0.6774             nan     0.1000   -0.0010
   100        0.6495             nan     0.1000   -0.0010
   120        0.6282             nan     0.1000   -0.0013
   140        0.6058             nan     0.1000   -0.0014
   160        0.5848             nan     0.1000   -0.0004
   180        0.5685             nan     0.1000   -0.0011
   200        0.5547             nan     0.1000   -0.0017
   220        0.5422             nan     0.1000   -0.0012
   240        0.5276             nan     0.1000   -0.0009
   260        0.5125             nan     0.1000   -0.0017
   280        0.4993             nan     0.1000   -0.0002
   300        0.4873             nan     0.1000   -0.0013
   320        0.4765             nan     0.1000   -0.0006
   340        0.4657             nan     0.1000   -0.0008
   360        0.4571             nan     0.1000   -0.0010
   380        0.4507             nan     0.1000   -0.0011
   400        0.4437             nan     0.1000   -0.0010
   420        0.4370             nan     0.1000   -0.0009
   440        0.4273             nan     0.1000   -0.0009
   460        0.4176             nan     0.1000   -0.0008
   480        0.4116             nan     0.1000   -0.0010
   500        0.4016             nan     0.1000   -0.0006
   520        0.3945             nan     0.1000   -0.0007
   540        0.3881             nan     0.1000   -0.0012
   560        0.3791             nan     0.1000   -0.0008
   580        0.3728             nan     0.1000   -0.0012
   600        0.3684             nan     0.1000   -0.0008
   620        0.3624             nan     0.1000   -0.0007
   640        0.3555             nan     0.1000   -0.0011
   660        0.3489             nan     0.1000   -0.0011
   680        0.3427             nan     0.1000   -0.0006
   700        0.3380             nan     0.1000   -0.0008
   720        0.3328             nan     0.1000   -0.0011
   740        0.3277             nan     0.1000   -0.0007
   760        0.3229             nan     0.1000   -0.0013
   780        0.3175             nan     0.1000   -0.0012
   800        0.3130             nan     0.1000   -0.0009
   820        0.3092             nan     0.1000   -0.0007
   840        0.3033             nan     0.1000   -0.0006
   860        0.2973             nan     0.1000   -0.0006
   880        0.2932             nan     0.1000   -0.0016
   900        0.2876             nan     0.1000   -0.0013
   920        0.2842             nan     0.1000   -0.0005
   940        0.2799             nan     0.1000   -0.0009
   960        0.2770             nan     0.1000   -0.0007
   980        0.2719             nan     0.1000   -0.0007
  1000        0.2691             nan     0.1000   -0.0009
  1020        0.2653             nan     0.1000   -0.0011
  1040        0.2623             nan     0.1000   -0.0006
  1060        0.2574             nan     0.1000   -0.0011
  1080        0.2546             nan     0.1000   -0.0008
  1100        0.2506             nan     0.1000   -0.0009

- Fold05.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3269             nan     0.0100    0.0028
     2        1.3215             nan     0.0100    0.0027
     3        1.3154             nan     0.0100    0.0026
     4        1.3104             nan     0.0100    0.0026
     5        1.3052             nan     0.0100    0.0025
     6        1.2999             nan     0.0100    0.0025
     7        1.2946             nan     0.0100    0.0025
     8        1.2903             nan     0.0100    0.0024
     9        1.2858             nan     0.0100    0.0024
    10        1.2814             nan     0.0100    0.0023
    20        1.2397             nan     0.0100    0.0019
    40        1.1751             nan     0.0100    0.0008
    60        1.1297             nan     0.0100    0.0009
    80        1.0932             nan     0.0100    0.0008
   100        1.0648             nan     0.0100    0.0006
   120        1.0417             nan     0.0100    0.0005
   140        1.0207             nan     0.0100    0.0003
   160        1.0032             nan     0.0100    0.0003
   180        0.9882             nan     0.0100    0.0003
   200        0.9738             nan     0.0100    0.0002
   220        0.9616             nan     0.0100    0.0002
   240        0.9509             nan     0.0100    0.0002
   260        0.9414             nan     0.0100    0.0001
   280        0.9329             nan     0.0100    0.0000
   300        0.9247             nan     0.0100    0.0001
   320        0.9173             nan     0.0100    0.0002
   340        0.9103             nan     0.0100    0.0001
   360        0.9040             nan     0.0100    0.0001
   380        0.8981             nan     0.0100    0.0001
   400        0.8926             nan     0.0100   -0.0000
   420        0.8878             nan     0.0100   -0.0000
   440        0.8830             nan     0.0100   -0.0000
   460        0.8783             nan     0.0100   -0.0000
   480        0.8737             nan     0.0100    0.0000
   500        0.8697             nan     0.0100    0.0000
   520        0.8659             nan     0.0100    0.0000
   540        0.8622             nan     0.0100    0.0000
   560        0.8588             nan     0.0100    0.0001
   580        0.8557             nan     0.0100    0.0000
   600        0.8530             nan     0.0100    0.0000
   620        0.8501             nan     0.0100    0.0000
   640        0.8471             nan     0.0100    0.0000
   660        0.8441             nan     0.0100    0.0000
   680        0.8414             nan     0.0100   -0.0000
   700        0.8385             nan     0.0100    0.0000
   720        0.8362             nan     0.0100   -0.0001
   740        0.8337             nan     0.0100   -0.0001
   760        0.8314             nan     0.0100   -0.0000
   780        0.8292             nan     0.0100   -0.0001
   800        0.8270             nan     0.0100   -0.0000
   820        0.8248             nan     0.0100   -0.0000
   840        0.8230             nan     0.0100   -0.0001
   860        0.8210             nan     0.0100    0.0000
   880        0.8192             nan     0.0100   -0.0000
   900        0.8172             nan     0.0100   -0.0000
   920        0.8154             nan     0.0100   -0.0000
   940        0.8139             nan     0.0100   -0.0001
   960        0.8124             nan     0.0100   -0.0000
   980        0.8108             nan     0.0100   -0.0001
  1000        0.8093             nan     0.0100    0.0000
  1020        0.8075             nan     0.0100    0.0000
  1040        0.8058             nan     0.0100    0.0000
  1060        0.8042             nan     0.0100   -0.0002
  1080        0.8030             nan     0.0100   -0.0001
  1100        0.8016             nan     0.0100   -0.0000

- Fold06.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3245             nan     0.0100    0.0035
     2        1.3175             nan     0.0100    0.0034
     3        1.3112             nan     0.0100    0.0032
     4        1.3047             nan     0.0100    0.0031
     5        1.2981             nan     0.0100    0.0034
     6        1.2922             nan     0.0100    0.0033
     7        1.2861             nan     0.0100    0.0031
     8        1.2799             nan     0.0100    0.0030
     9        1.2740             nan     0.0100    0.0029
    10        1.2679             nan     0.0100    0.0032
    20        1.2149             nan     0.0100    0.0026
    40        1.1317             nan     0.0100    0.0016
    60        1.0695             nan     0.0100    0.0013
    80        1.0223             nan     0.0100    0.0010
   100        0.9871             nan     0.0100    0.0008
   120        0.9597             nan     0.0100    0.0006
   140        0.9376             nan     0.0100    0.0004
   160        0.9199             nan     0.0100    0.0001
   180        0.9036             nan     0.0100    0.0003
   200        0.8893             nan     0.0100    0.0002
   220        0.8767             nan     0.0100    0.0002
   240        0.8674             nan     0.0100   -0.0000
   260        0.8583             nan     0.0100    0.0001
   280        0.8506             nan     0.0100    0.0001
   300        0.8432             nan     0.0100    0.0001
   320        0.8367             nan     0.0100    0.0001
   340        0.8294             nan     0.0100    0.0001
   360        0.8229             nan     0.0100    0.0000
   380        0.8168             nan     0.0100   -0.0001
   400        0.8119             nan     0.0100    0.0000
   420        0.8077             nan     0.0100   -0.0000
   440        0.8038             nan     0.0100   -0.0000
   460        0.7992             nan     0.0100   -0.0000
   480        0.7946             nan     0.0100   -0.0000
   500        0.7906             nan     0.0100   -0.0001
   520        0.7865             nan     0.0100   -0.0000
   540        0.7832             nan     0.0100   -0.0001
   560        0.7800             nan     0.0100   -0.0001
   580        0.7764             nan     0.0100    0.0000
   600        0.7727             nan     0.0100    0.0000
   620        0.7698             nan     0.0100   -0.0002
   640        0.7672             nan     0.0100   -0.0000
   660        0.7640             nan     0.0100   -0.0001
   680        0.7613             nan     0.0100   -0.0001
   700        0.7590             nan     0.0100   -0.0001
   720        0.7560             nan     0.0100   -0.0000
   740        0.7531             nan     0.0100    0.0000
   760        0.7509             nan     0.0100   -0.0001
   780        0.7485             nan     0.0100   -0.0000
   800        0.7457             nan     0.0100   -0.0001
   820        0.7432             nan     0.0100   -0.0001
   840        0.7407             nan     0.0100   -0.0001
   860        0.7381             nan     0.0100   -0.0001
   880        0.7359             nan     0.0100   -0.0001
   900        0.7339             nan     0.0100   -0.0001
   920        0.7319             nan     0.0100   -0.0001
   940        0.7299             nan     0.0100   -0.0001
   960        0.7271             nan     0.0100    0.0000
   980        0.7252             nan     0.0100   -0.0002
  1000        0.7234             nan     0.0100   -0.0000
  1020        0.7212             nan     0.0100   -0.0001
  1040        0.7192             nan     0.0100   -0.0002
  1060        0.7172             nan     0.0100   -0.0000
  1080        0.7149             nan     0.0100   -0.0001
  1100        0.7132             nan     0.0100   -0.0001

- Fold06.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3242             nan     0.0100    0.0033
     2        1.3169             nan     0.0100    0.0037
     3        1.3095             nan     0.0100    0.0036
     4        1.3018             nan     0.0100    0.0037
     5        1.2943             nan     0.0100    0.0036
     6        1.2872             nan     0.0100    0.0035
     7        1.2801             nan     0.0100    0.0035
     8        1.2732             nan     0.0100    0.0033
     9        1.2663             nan     0.0100    0.0033
    10        1.2597             nan     0.0100    0.0033
    20        1.1989             nan     0.0100    0.0026
    40        1.1064             nan     0.0100    0.0018
    60        1.0376             nan     0.0100    0.0013
    80        0.9873             nan     0.0100    0.0009
   100        0.9491             nan     0.0100    0.0008
   120        0.9210             nan     0.0100    0.0003
   140        0.8975             nan     0.0100    0.0006
   160        0.8778             nan     0.0100    0.0002
   180        0.8618             nan     0.0100    0.0001
   200        0.8488             nan     0.0100    0.0000
   220        0.8367             nan     0.0100   -0.0000
   240        0.8256             nan     0.0100   -0.0000
   260        0.8159             nan     0.0100    0.0000
   280        0.8071             nan     0.0100    0.0001
   300        0.7993             nan     0.0100   -0.0001
   320        0.7919             nan     0.0100    0.0001
   340        0.7849             nan     0.0100   -0.0000
   360        0.7783             nan     0.0100   -0.0001
   380        0.7720             nan     0.0100   -0.0001
   400        0.7663             nan     0.0100   -0.0000
   420        0.7610             nan     0.0100   -0.0000
   440        0.7558             nan     0.0100   -0.0000
   460        0.7513             nan     0.0100   -0.0000
   480        0.7462             nan     0.0100   -0.0001
   500        0.7417             nan     0.0100   -0.0001
   520        0.7374             nan     0.0100    0.0000
   540        0.7336             nan     0.0100   -0.0001
   560        0.7293             nan     0.0100    0.0000
   580        0.7253             nan     0.0100   -0.0001
   600        0.7216             nan     0.0100   -0.0001
   620        0.7178             nan     0.0100   -0.0000
   640        0.7138             nan     0.0100    0.0001
   660        0.7099             nan     0.0100   -0.0001
   680        0.7065             nan     0.0100   -0.0002
   700        0.7026             nan     0.0100   -0.0001
   720        0.6994             nan     0.0100   -0.0001
   740        0.6964             nan     0.0100   -0.0001
   760        0.6933             nan     0.0100   -0.0001
   780        0.6903             nan     0.0100   -0.0001
   800        0.6872             nan     0.0100   -0.0000
   820        0.6845             nan     0.0100   -0.0000
   840        0.6813             nan     0.0100   -0.0001
   860        0.6789             nan     0.0100   -0.0001
   880        0.6762             nan     0.0100   -0.0001
   900        0.6738             nan     0.0100   -0.0002
   920        0.6709             nan     0.0100   -0.0001
   940        0.6684             nan     0.0100   -0.0001
   960        0.6657             nan     0.0100   -0.0000
   980        0.6635             nan     0.0100   -0.0001
  1000        0.6611             nan     0.0100   -0.0001
  1020        0.6588             nan     0.0100   -0.0001
  1040        0.6565             nan     0.0100   -0.0001
  1060        0.6543             nan     0.0100   -0.0002
  1080        0.6516             nan     0.0100   -0.0002
  1100        0.6490             nan     0.0100   -0.0001

- Fold06.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2800             nan     0.1000    0.0260
     2        1.2347             nan     0.1000    0.0213
     3        1.2020             nan     0.1000    0.0174
     4        1.1721             nan     0.1000    0.0158
     5        1.1447             nan     0.1000    0.0111
     6        1.1230             nan     0.1000    0.0103
     7        1.1066             nan     0.1000    0.0082
     8        1.0889             nan     0.1000    0.0076
     9        1.0759             nan     0.1000    0.0065
    10        1.0623             nan     0.1000    0.0062
    20        0.9697             nan     0.1000    0.0033
    40        0.8925             nan     0.1000    0.0004
    60        0.8534             nan     0.1000   -0.0006
    80        0.8270             nan     0.1000   -0.0002
   100        0.8095             nan     0.1000   -0.0006
   120        0.7954             nan     0.1000    0.0000
   140        0.7855             nan     0.1000   -0.0012
   160        0.7776             nan     0.1000   -0.0016
   180        0.7675             nan     0.1000   -0.0001
   200        0.7611             nan     0.1000   -0.0005
   220        0.7557             nan     0.1000   -0.0013
   240        0.7491             nan     0.1000   -0.0007
   260        0.7418             nan     0.1000   -0.0008
   280        0.7364             nan     0.1000   -0.0005
   300        0.7326             nan     0.1000   -0.0006
   320        0.7270             nan     0.1000   -0.0006
   340        0.7246             nan     0.1000   -0.0004
   360        0.7220             nan     0.1000   -0.0011
   380        0.7182             nan     0.1000   -0.0008
   400        0.7150             nan     0.1000   -0.0009
   420        0.7108             nan     0.1000   -0.0004
   440        0.7085             nan     0.1000   -0.0010
   460        0.7066             nan     0.1000   -0.0013
   480        0.7052             nan     0.1000   -0.0015
   500        0.7006             nan     0.1000   -0.0008
   520        0.6992             nan     0.1000   -0.0007
   540        0.6973             nan     0.1000   -0.0009
   560        0.6954             nan     0.1000   -0.0011
   580        0.6925             nan     0.1000   -0.0011
   600        0.6916             nan     0.1000   -0.0009
   620        0.6883             nan     0.1000   -0.0011
   640        0.6870             nan     0.1000   -0.0010
   660        0.6830             nan     0.1000   -0.0005
   680        0.6809             nan     0.1000   -0.0009
   700        0.6795             nan     0.1000   -0.0004
   720        0.6761             nan     0.1000   -0.0018
   740        0.6750             nan     0.1000   -0.0017
   760        0.6723             nan     0.1000   -0.0003
   780        0.6713             nan     0.1000   -0.0007
   800        0.6693             nan     0.1000   -0.0009
   820        0.6672             nan     0.1000   -0.0009
   840        0.6665             nan     0.1000   -0.0004
   860        0.6647             nan     0.1000   -0.0016
   880        0.6641             nan     0.1000   -0.0002
   900        0.6623             nan     0.1000   -0.0002
   920        0.6600             nan     0.1000   -0.0007
   940        0.6589             nan     0.1000   -0.0006
   960        0.6572             nan     0.1000   -0.0007
   980        0.6560             nan     0.1000   -0.0005
  1000        0.6546             nan     0.1000   -0.0008
  1020        0.6535             nan     0.1000   -0.0007
  1040        0.6518             nan     0.1000   -0.0007
  1060        0.6517             nan     0.1000   -0.0015
  1080        0.6509             nan     0.1000   -0.0003
  1100        0.6495             nan     0.1000   -0.0005

- Fold06.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2645             nan     0.1000    0.0335
     2        1.2041             nan     0.1000    0.0270
     3        1.1587             nan     0.1000    0.0222
     4        1.1173             nan     0.1000    0.0192
     5        1.0863             nan     0.1000    0.0153
     6        1.0561             nan     0.1000    0.0126
     7        1.0340             nan     0.1000    0.0105
     8        1.0100             nan     0.1000    0.0102
     9        0.9927             nan     0.1000    0.0088
    10        0.9750             nan     0.1000    0.0070
    20        0.8809             nan     0.1000    0.0009
    40        0.8135             nan     0.1000   -0.0003
    60        0.7726             nan     0.1000   -0.0007
    80        0.7483             nan     0.1000   -0.0006
   100        0.7277             nan     0.1000   -0.0005
   120        0.7077             nan     0.1000   -0.0007
   140        0.6913             nan     0.1000   -0.0013
   160        0.6744             nan     0.1000   -0.0008
   180        0.6590             nan     0.1000   -0.0007
   200        0.6449             nan     0.1000   -0.0008
   220        0.6313             nan     0.1000   -0.0001
   240        0.6189             nan     0.1000   -0.0008
   260        0.6125             nan     0.1000   -0.0012
   280        0.6031             nan     0.1000   -0.0013
   300        0.5937             nan     0.1000   -0.0007
   320        0.5846             nan     0.1000   -0.0008
   340        0.5755             nan     0.1000   -0.0006
   360        0.5694             nan     0.1000   -0.0013
   380        0.5628             nan     0.1000   -0.0009
   400        0.5552             nan     0.1000   -0.0013
   420        0.5466             nan     0.1000   -0.0008
   440        0.5372             nan     0.1000   -0.0012
   460        0.5318             nan     0.1000   -0.0009
   480        0.5262             nan     0.1000   -0.0007
   500        0.5217             nan     0.1000   -0.0006
   520        0.5158             nan     0.1000   -0.0013
   540        0.5090             nan     0.1000   -0.0017
   560        0.5043             nan     0.1000    0.0000
   580        0.4997             nan     0.1000   -0.0005
   600        0.4946             nan     0.1000   -0.0011
   620        0.4899             nan     0.1000   -0.0010
   640        0.4849             nan     0.1000   -0.0004
   660        0.4779             nan     0.1000   -0.0013
   680        0.4754             nan     0.1000   -0.0005
   700        0.4711             nan     0.1000   -0.0009
   720        0.4667             nan     0.1000   -0.0007
   740        0.4635             nan     0.1000   -0.0007
   760        0.4588             nan     0.1000   -0.0010
   780        0.4525             nan     0.1000   -0.0012
   800        0.4471             nan     0.1000   -0.0007
   820        0.4422             nan     0.1000   -0.0007
   840        0.4375             nan     0.1000   -0.0010
   860        0.4338             nan     0.1000   -0.0007
   880        0.4307             nan     0.1000   -0.0007
   900        0.4270             nan     0.1000   -0.0010
   920        0.4247             nan     0.1000   -0.0006
   940        0.4218             nan     0.1000   -0.0009
   960        0.4187             nan     0.1000   -0.0006
   980        0.4145             nan     0.1000   -0.0007
  1000        0.4103             nan     0.1000   -0.0011
  1020        0.4077             nan     0.1000   -0.0005
  1040        0.4043             nan     0.1000   -0.0012
  1060        0.4008             nan     0.1000   -0.0011
  1080        0.3981             nan     0.1000   -0.0007
  1100        0.3951             nan     0.1000   -0.0006

- Fold06.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2571             nan     0.1000    0.0348
     2        1.1947             nan     0.1000    0.0302
     3        1.1399             nan     0.1000    0.0257
     4        1.0965             nan     0.1000    0.0204
     5        1.0607             nan     0.1000    0.0177
     6        1.0301             nan     0.1000    0.0155
     7        1.0028             nan     0.1000    0.0121
     8        0.9790             nan     0.1000    0.0083
     9        0.9626             nan     0.1000    0.0072
    10        0.9442             nan     0.1000    0.0070
    20        0.8489             nan     0.1000    0.0012
    40        0.7715             nan     0.1000    0.0005
    60        0.7233             nan     0.1000   -0.0008
    80        0.6976             nan     0.1000   -0.0014
   100        0.6686             nan     0.1000   -0.0014
   120        0.6462             nan     0.1000   -0.0024
   140        0.6227             nan     0.1000   -0.0022
   160        0.6057             nan     0.1000   -0.0011
   180        0.5873             nan     0.1000   -0.0005
   200        0.5696             nan     0.1000   -0.0003
   220        0.5549             nan     0.1000   -0.0024
   240        0.5439             nan     0.1000   -0.0013
   260        0.5257             nan     0.1000   -0.0007
   280        0.5104             nan     0.1000   -0.0010
   300        0.4969             nan     0.1000   -0.0014
   320        0.4879             nan     0.1000   -0.0009
   340        0.4788             nan     0.1000   -0.0010
   360        0.4702             nan     0.1000   -0.0011
   380        0.4573             nan     0.1000   -0.0007
   400        0.4467             nan     0.1000   -0.0010
   420        0.4402             nan     0.1000   -0.0016
   440        0.4326             nan     0.1000   -0.0006
   460        0.4222             nan     0.1000    0.0002
   480        0.4153             nan     0.1000   -0.0015
   500        0.4073             nan     0.1000   -0.0013
   520        0.4006             nan     0.1000   -0.0005
   540        0.3926             nan     0.1000   -0.0006
   560        0.3853             nan     0.1000   -0.0008
   580        0.3791             nan     0.1000   -0.0018
   600        0.3731             nan     0.1000   -0.0013
   620        0.3680             nan     0.1000   -0.0009
   640        0.3615             nan     0.1000   -0.0010
   660        0.3551             nan     0.1000   -0.0007
   680        0.3494             nan     0.1000   -0.0008
   700        0.3450             nan     0.1000   -0.0006
   720        0.3393             nan     0.1000   -0.0008
   740        0.3346             nan     0.1000   -0.0010
   760        0.3293             nan     0.1000   -0.0007
   780        0.3252             nan     0.1000   -0.0012
   800        0.3180             nan     0.1000   -0.0004
   820        0.3139             nan     0.1000   -0.0009
   840        0.3112             nan     0.1000   -0.0009
   860        0.3075             nan     0.1000   -0.0006
   880        0.3031             nan     0.1000   -0.0009
   900        0.2997             nan     0.1000   -0.0006
   920        0.2960             nan     0.1000   -0.0004
   940        0.2908             nan     0.1000   -0.0010
   960        0.2857             nan     0.1000   -0.0007
   980        0.2829             nan     0.1000   -0.0009
  1000        0.2777             nan     0.1000   -0.0008
  1020        0.2735             nan     0.1000   -0.0007
  1040        0.2694             nan     0.1000   -0.0004
  1060        0.2665             nan     0.1000   -0.0005
  1080        0.2629             nan     0.1000   -0.0006
  1100        0.2594             nan     0.1000   -0.0007

- Fold06.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3257             nan     0.0100    0.0031
     2        1.3194             nan     0.0100    0.0030
     3        1.3133             nan     0.0100    0.0029
     4        1.3072             nan     0.0100    0.0028
     5        1.3015             nan     0.0100    0.0028
     6        1.2961             nan     0.0100    0.0028
     7        1.2904             nan     0.0100    0.0027
     8        1.2847             nan     0.0100    0.0026
     9        1.2797             nan     0.0100    0.0026
    10        1.2744             nan     0.0100    0.0025
    20        1.2277             nan     0.0100    0.0021
    40        1.1562             nan     0.0100    0.0014
    60        1.1051             nan     0.0100    0.0010
    80        1.0677             nan     0.0100    0.0008
   100        1.0370             nan     0.0100    0.0006
   120        1.0121             nan     0.0100    0.0005
   140        0.9914             nan     0.0100    0.0004
   160        0.9738             nan     0.0100    0.0002
   180        0.9581             nan     0.0100    0.0002
   200        0.9451             nan     0.0100    0.0002
   220        0.9341             nan     0.0100    0.0003
   240        0.9240             nan     0.0100    0.0002
   260        0.9149             nan     0.0100    0.0001
   280        0.9069             nan     0.0100    0.0002
   300        0.8994             nan     0.0100    0.0001
   320        0.8928             nan     0.0100    0.0001
   340        0.8868             nan     0.0100    0.0001
   360        0.8812             nan     0.0100    0.0001
   380        0.8763             nan     0.0100   -0.0000
   400        0.8711             nan     0.0100    0.0001
   420        0.8668             nan     0.0100   -0.0000
   440        0.8622             nan     0.0100    0.0000
   460        0.8582             nan     0.0100   -0.0000
   480        0.8544             nan     0.0100    0.0000
   500        0.8503             nan     0.0100    0.0000
   520        0.8469             nan     0.0100    0.0000
   540        0.8435             nan     0.0100    0.0000
   560        0.8399             nan     0.0100    0.0000
   580        0.8370             nan     0.0100   -0.0001
   600        0.8337             nan     0.0100   -0.0000
   620        0.8305             nan     0.0100    0.0000
   640        0.8277             nan     0.0100   -0.0000
   660        0.8250             nan     0.0100   -0.0000
   680        0.8224             nan     0.0100   -0.0001
   700        0.8199             nan     0.0100    0.0000
   720        0.8177             nan     0.0100   -0.0001
   740        0.8154             nan     0.0100   -0.0000
   760        0.8132             nan     0.0100   -0.0001
   780        0.8112             nan     0.0100   -0.0000
   800        0.8090             nan     0.0100   -0.0000
   820        0.8071             nan     0.0100   -0.0000
   840        0.8051             nan     0.0100   -0.0000
   860        0.8031             nan     0.0100    0.0000
   880        0.8012             nan     0.0100   -0.0001
   900        0.7995             nan     0.0100   -0.0002
   920        0.7980             nan     0.0100   -0.0001
   940        0.7964             nan     0.0100   -0.0000
   960        0.7947             nan     0.0100   -0.0001
   980        0.7932             nan     0.0100   -0.0001
  1000        0.7917             nan     0.0100    0.0000
  1020        0.7904             nan     0.0100   -0.0001
  1040        0.7890             nan     0.0100   -0.0000
  1060        0.7879             nan     0.0100   -0.0001
  1080        0.7867             nan     0.0100   -0.0001
  1100        0.7855             nan     0.0100   -0.0001

- Fold07.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3246             nan     0.0100    0.0037
     2        1.3171             nan     0.0100    0.0036
     3        1.3099             nan     0.0100    0.0035
     4        1.3031             nan     0.0100    0.0037
     5        1.2966             nan     0.0100    0.0031
     6        1.2900             nan     0.0100    0.0034
     7        1.2832             nan     0.0100    0.0030
     8        1.2769             nan     0.0100    0.0033
     9        1.2707             nan     0.0100    0.0027
    10        1.2648             nan     0.0100    0.0030
    20        1.2084             nan     0.0100    0.0023
    40        1.1187             nan     0.0100    0.0018
    60        1.0545             nan     0.0100    0.0013
    80        1.0043             nan     0.0100    0.0010
   100        0.9669             nan     0.0100    0.0007
   120        0.9380             nan     0.0100    0.0005
   140        0.9153             nan     0.0100    0.0004
   160        0.8974             nan     0.0100    0.0004
   180        0.8814             nan     0.0100    0.0004
   200        0.8673             nan     0.0100    0.0000
   220        0.8553             nan     0.0100    0.0001
   240        0.8442             nan     0.0100    0.0000
   260        0.8355             nan     0.0100    0.0001
   280        0.8279             nan     0.0100   -0.0000
   300        0.8208             nan     0.0100    0.0001
   320        0.8133             nan     0.0100    0.0002
   340        0.8074             nan     0.0100    0.0000
   360        0.8016             nan     0.0100    0.0001
   380        0.7957             nan     0.0100   -0.0000
   400        0.7900             nan     0.0100   -0.0000
   420        0.7851             nan     0.0100    0.0000
   440        0.7799             nan     0.0100    0.0000
   460        0.7756             nan     0.0100    0.0000
   480        0.7709             nan     0.0100   -0.0001
   500        0.7672             nan     0.0100    0.0000
   520        0.7630             nan     0.0100   -0.0000
   540        0.7597             nan     0.0100   -0.0000
   560        0.7566             nan     0.0100   -0.0000
   580        0.7530             nan     0.0100   -0.0001
   600        0.7498             nan     0.0100   -0.0000
   620        0.7473             nan     0.0100   -0.0001
   640        0.7446             nan     0.0100   -0.0001
   660        0.7414             nan     0.0100   -0.0000
   680        0.7386             nan     0.0100   -0.0001
   700        0.7355             nan     0.0100   -0.0001
   720        0.7331             nan     0.0100   -0.0001
   740        0.7307             nan     0.0100   -0.0001
   760        0.7283             nan     0.0100   -0.0001
   780        0.7261             nan     0.0100   -0.0001
   800        0.7235             nan     0.0100   -0.0001
   820        0.7214             nan     0.0100   -0.0001
   840        0.7192             nan     0.0100   -0.0001
   860        0.7171             nan     0.0100   -0.0001
   880        0.7151             nan     0.0100   -0.0001
   900        0.7128             nan     0.0100   -0.0000
   920        0.7106             nan     0.0100   -0.0000
   940        0.7084             nan     0.0100   -0.0001
   960        0.7063             nan     0.0100   -0.0001
   980        0.7044             nan     0.0100   -0.0002
  1000        0.7026             nan     0.0100   -0.0001
  1020        0.7005             nan     0.0100   -0.0001
  1040        0.6984             nan     0.0100   -0.0001
  1060        0.6962             nan     0.0100    0.0000
  1080        0.6946             nan     0.0100   -0.0000
  1100        0.6924             nan     0.0100   -0.0001

- Fold07.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3236             nan     0.0100    0.0040
     2        1.3153             nan     0.0100    0.0037
     3        1.3074             nan     0.0100    0.0037
     4        1.2997             nan     0.0100    0.0038
     5        1.2920             nan     0.0100    0.0037
     6        1.2843             nan     0.0100    0.0035
     7        1.2768             nan     0.0100    0.0034
     8        1.2696             nan     0.0100    0.0035
     9        1.2623             nan     0.0100    0.0035
    10        1.2559             nan     0.0100    0.0033
    20        1.1933             nan     0.0100    0.0028
    40        1.0975             nan     0.0100    0.0019
    60        1.0276             nan     0.0100    0.0013
    80        0.9755             nan     0.0100    0.0011
   100        0.9348             nan     0.0100    0.0006
   120        0.9059             nan     0.0100    0.0006
   140        0.8816             nan     0.0100    0.0004
   160        0.8621             nan     0.0100    0.0002
   180        0.8454             nan     0.0100    0.0003
   200        0.8322             nan     0.0100    0.0002
   220        0.8198             nan     0.0100    0.0001
   240        0.8092             nan     0.0100    0.0001
   260        0.7993             nan     0.0100   -0.0000
   280        0.7908             nan     0.0100   -0.0001
   300        0.7821             nan     0.0100   -0.0001
   320        0.7749             nan     0.0100   -0.0000
   340        0.7685             nan     0.0100   -0.0001
   360        0.7623             nan     0.0100    0.0001
   380        0.7566             nan     0.0100   -0.0001
   400        0.7502             nan     0.0100   -0.0000
   420        0.7450             nan     0.0100   -0.0001
   440        0.7403             nan     0.0100   -0.0000
   460        0.7356             nan     0.0100   -0.0002
   480        0.7311             nan     0.0100   -0.0000
   500        0.7269             nan     0.0100   -0.0002
   520        0.7217             nan     0.0100    0.0000
   540        0.7170             nan     0.0100   -0.0001
   560        0.7131             nan     0.0100   -0.0001
   580        0.7090             nan     0.0100   -0.0000
   600        0.7056             nan     0.0100   -0.0000
   620        0.7016             nan     0.0100   -0.0002
   640        0.6980             nan     0.0100   -0.0002
   660        0.6944             nan     0.0100    0.0000
   680        0.6914             nan     0.0100   -0.0001
   700        0.6876             nan     0.0100   -0.0002
   720        0.6840             nan     0.0100    0.0000
   740        0.6809             nan     0.0100   -0.0000
   760        0.6771             nan     0.0100    0.0000
   780        0.6741             nan     0.0100   -0.0001
   800        0.6708             nan     0.0100   -0.0001
   820        0.6675             nan     0.0100   -0.0001
   840        0.6647             nan     0.0100   -0.0003
   860        0.6618             nan     0.0100   -0.0001
   880        0.6593             nan     0.0100   -0.0001
   900        0.6566             nan     0.0100   -0.0001
   920        0.6543             nan     0.0100   -0.0001
   940        0.6520             nan     0.0100   -0.0001
   960        0.6494             nan     0.0100   -0.0001
   980        0.6468             nan     0.0100   -0.0001
  1000        0.6442             nan     0.0100   -0.0001
  1020        0.6420             nan     0.0100   -0.0001
  1040        0.6400             nan     0.0100   -0.0002
  1060        0.6377             nan     0.0100   -0.0002
  1080        0.6353             nan     0.0100   -0.0001
  1100        0.6330             nan     0.0100   -0.0002

- Fold07.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2737             nan     0.1000    0.0288
     2        1.2198             nan     0.1000    0.0241
     3        1.1821             nan     0.1000    0.0190
     4        1.1486             nan     0.1000    0.0151
     5        1.1284             nan     0.1000    0.0071
     6        1.1023             nan     0.1000    0.0125
     7        1.0794             nan     0.1000    0.0103
     8        1.0637             nan     0.1000    0.0058
     9        1.0460             nan     0.1000    0.0082
    10        1.0317             nan     0.1000    0.0065
    20        0.9422             nan     0.1000    0.0011
    40        0.8722             nan     0.1000    0.0008
    60        0.8345             nan     0.1000   -0.0009
    80        0.8093             nan     0.1000    0.0002
   100        0.7931             nan     0.1000   -0.0006
   120        0.7804             nan     0.1000   -0.0006
   140        0.7695             nan     0.1000   -0.0004
   160        0.7615             nan     0.1000   -0.0004
   180        0.7540             nan     0.1000   -0.0007
   200        0.7487             nan     0.1000   -0.0004
   220        0.7418             nan     0.1000   -0.0004
   240        0.7387             nan     0.1000   -0.0007
   260        0.7339             nan     0.1000   -0.0005
   280        0.7281             nan     0.1000   -0.0009
   300        0.7225             nan     0.1000   -0.0005
   320        0.7182             nan     0.1000   -0.0011
   340        0.7144             nan     0.1000   -0.0005
   360        0.7106             nan     0.1000   -0.0008
   380        0.7060             nan     0.1000   -0.0005
   400        0.7027             nan     0.1000   -0.0006
   420        0.6991             nan     0.1000   -0.0002
   440        0.6978             nan     0.1000   -0.0001
   460        0.6963             nan     0.1000   -0.0004
   480        0.6932             nan     0.1000   -0.0011
   500        0.6915             nan     0.1000   -0.0004
   520        0.6885             nan     0.1000   -0.0013
   540        0.6862             nan     0.1000   -0.0008
   560        0.6848             nan     0.1000   -0.0007
   580        0.6828             nan     0.1000   -0.0008
   600        0.6805             nan     0.1000   -0.0006
   620        0.6791             nan     0.1000   -0.0009
   640        0.6770             nan     0.1000   -0.0005
   660        0.6747             nan     0.1000   -0.0004
   680        0.6724             nan     0.1000   -0.0006
   700        0.6709             nan     0.1000   -0.0007
   720        0.6688             nan     0.1000   -0.0012
   740        0.6677             nan     0.1000   -0.0002
   760        0.6654             nan     0.1000   -0.0003
   780        0.6635             nan     0.1000   -0.0007
   800        0.6605             nan     0.1000   -0.0010
   820        0.6580             nan     0.1000   -0.0009
   840        0.6566             nan     0.1000   -0.0012
   860        0.6556             nan     0.1000   -0.0007
   880        0.6548             nan     0.1000   -0.0008
   900        0.6535             nan     0.1000   -0.0014
   920        0.6519             nan     0.1000   -0.0005
   940        0.6512             nan     0.1000   -0.0004
   960        0.6489             nan     0.1000   -0.0007
   980        0.6490             nan     0.1000   -0.0008
  1000        0.6462             nan     0.1000   -0.0009
  1020        0.6447             nan     0.1000   -0.0004
  1040        0.6423             nan     0.1000   -0.0009
  1060        0.6415             nan     0.1000   -0.0010
  1080        0.6404             nan     0.1000   -0.0006
  1100        0.6395             nan     0.1000   -0.0007

- Fold07.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2600             nan     0.1000    0.0317
     2        1.2054             nan     0.1000    0.0262
     3        1.1511             nan     0.1000    0.0230
     4        1.1099             nan     0.1000    0.0205
     5        1.0752             nan     0.1000    0.0163
     6        1.0420             nan     0.1000    0.0138
     7        1.0182             nan     0.1000    0.0119
     8        0.9941             nan     0.1000    0.0105
     9        0.9734             nan     0.1000    0.0090
    10        0.9583             nan     0.1000    0.0066
    20        0.8607             nan     0.1000    0.0035
    40        0.7915             nan     0.1000   -0.0004
    60        0.7548             nan     0.1000    0.0001
    80        0.7297             nan     0.1000    0.0003
   100        0.7121             nan     0.1000   -0.0016
   120        0.6922             nan     0.1000   -0.0003
   140        0.6756             nan     0.1000   -0.0013
   160        0.6624             nan     0.1000   -0.0013
   180        0.6482             nan     0.1000   -0.0004
   200        0.6368             nan     0.1000   -0.0017
   220        0.6279             nan     0.1000    0.0001
   240        0.6178             nan     0.1000   -0.0008
   260        0.6071             nan     0.1000   -0.0014
   280        0.5988             nan     0.1000   -0.0007
   300        0.5908             nan     0.1000   -0.0012
   320        0.5847             nan     0.1000   -0.0004
   340        0.5754             nan     0.1000   -0.0015
   360        0.5667             nan     0.1000   -0.0007
   380        0.5590             nan     0.1000   -0.0013
   400        0.5505             nan     0.1000   -0.0011
   420        0.5418             nan     0.1000   -0.0008
   440        0.5374             nan     0.1000   -0.0005
   460        0.5299             nan     0.1000   -0.0008
   480        0.5227             nan     0.1000   -0.0015
   500        0.5147             nan     0.1000   -0.0006
   520        0.5092             nan     0.1000   -0.0010
   540        0.5016             nan     0.1000   -0.0005
   560        0.4985             nan     0.1000   -0.0005
   580        0.4948             nan     0.1000   -0.0012
   600        0.4883             nan     0.1000   -0.0012
   620        0.4836             nan     0.1000   -0.0014
   640        0.4777             nan     0.1000   -0.0011
   660        0.4724             nan     0.1000   -0.0007
   680        0.4686             nan     0.1000   -0.0006
   700        0.4629             nan     0.1000   -0.0013
   720        0.4580             nan     0.1000   -0.0010
   740        0.4536             nan     0.1000   -0.0003
   760        0.4492             nan     0.1000   -0.0010
   780        0.4433             nan     0.1000   -0.0011
   800        0.4404             nan     0.1000   -0.0005
   820        0.4389             nan     0.1000   -0.0008
   840        0.4341             nan     0.1000   -0.0006
   860        0.4306             nan     0.1000   -0.0015
   880        0.4270             nan     0.1000   -0.0011
   900        0.4233             nan     0.1000   -0.0006
   920        0.4202             nan     0.1000   -0.0010
   940        0.4164             nan     0.1000   -0.0005
   960        0.4144             nan     0.1000   -0.0002
   980        0.4108             nan     0.1000   -0.0007
  1000        0.4056             nan     0.1000   -0.0004
  1020        0.4040             nan     0.1000   -0.0012
  1040        0.4007             nan     0.1000   -0.0007
  1060        0.3968             nan     0.1000   -0.0008
  1080        0.3921             nan     0.1000   -0.0005
  1100        0.3899             nan     0.1000   -0.0012

- Fold07.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2533             nan     0.1000    0.0399
     2        1.1873             nan     0.1000    0.0311
     3        1.1341             nan     0.1000    0.0262
     4        1.0899             nan     0.1000    0.0212
     5        1.0528             nan     0.1000    0.0190
     6        1.0205             nan     0.1000    0.0161
     7        0.9912             nan     0.1000    0.0115
     8        0.9639             nan     0.1000    0.0111
     9        0.9439             nan     0.1000    0.0105
    10        0.9261             nan     0.1000    0.0083
    20        0.8299             nan     0.1000    0.0022
    40        0.7499             nan     0.1000   -0.0012
    60        0.7099             nan     0.1000   -0.0027
    80        0.6750             nan     0.1000   -0.0013
   100        0.6495             nan     0.1000   -0.0007
   120        0.6281             nan     0.1000   -0.0013
   140        0.6093             nan     0.1000   -0.0017
   160        0.5932             nan     0.1000   -0.0010
   180        0.5754             nan     0.1000   -0.0019
   200        0.5602             nan     0.1000   -0.0014
   220        0.5486             nan     0.1000   -0.0012
   240        0.5328             nan     0.1000   -0.0017
   260        0.5201             nan     0.1000   -0.0004
   280        0.5082             nan     0.1000   -0.0027
   300        0.4939             nan     0.1000   -0.0016
   320        0.4842             nan     0.1000   -0.0011
   340        0.4745             nan     0.1000   -0.0009
   360        0.4650             nan     0.1000   -0.0005
   380        0.4546             nan     0.1000   -0.0012
   400        0.4450             nan     0.1000   -0.0013
   420        0.4342             nan     0.1000   -0.0018
   440        0.4251             nan     0.1000   -0.0004
   460        0.4176             nan     0.1000   -0.0023
   480        0.4113             nan     0.1000   -0.0009
   500        0.4068             nan     0.1000   -0.0007
   520        0.3999             nan     0.1000   -0.0014
   540        0.3939             nan     0.1000   -0.0003
   560        0.3868             nan     0.1000   -0.0009
   580        0.3791             nan     0.1000   -0.0012
   600        0.3730             nan     0.1000   -0.0014
   620        0.3666             nan     0.1000   -0.0007
   640        0.3592             nan     0.1000   -0.0008
   660        0.3514             nan     0.1000   -0.0006
   680        0.3468             nan     0.1000   -0.0010
   700        0.3418             nan     0.1000   -0.0003
   720        0.3349             nan     0.1000   -0.0008
   740        0.3282             nan     0.1000   -0.0009
   760        0.3253             nan     0.1000   -0.0011
   780        0.3187             nan     0.1000   -0.0009
   800        0.3145             nan     0.1000   -0.0005
   820        0.3104             nan     0.1000   -0.0006
   840        0.3077             nan     0.1000   -0.0007
   860        0.3032             nan     0.1000   -0.0005
   880        0.2979             nan     0.1000   -0.0007
   900        0.2937             nan     0.1000   -0.0010
   920        0.2899             nan     0.1000   -0.0004
   940        0.2861             nan     0.1000   -0.0009
   960        0.2824             nan     0.1000   -0.0008
   980        0.2803             nan     0.1000   -0.0005
  1000        0.2776             nan     0.1000   -0.0008
  1020        0.2753             nan     0.1000   -0.0010
  1040        0.2711             nan     0.1000   -0.0006
  1060        0.2676             nan     0.1000   -0.0007
  1080        0.2643             nan     0.1000   -0.0006
  1100        0.2599             nan     0.1000   -0.0010

- Fold07.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3261             nan     0.0100    0.0028
     2        1.3202             nan     0.0100    0.0029
     3        1.3143             nan     0.0100    0.0028
     4        1.3090             nan     0.0100    0.0026
     5        1.3033             nan     0.0100    0.0027
     6        1.2979             nan     0.0100    0.0026
     7        1.2922             nan     0.0100    0.0024
     8        1.2869             nan     0.0100    0.0026
     9        1.2817             nan     0.0100    0.0025
    10        1.2768             nan     0.0100    0.0023
    20        1.2337             nan     0.0100    0.0019
    40        1.1675             nan     0.0100    0.0013
    60        1.1231             nan     0.0100    0.0008
    80        1.0876             nan     0.0100    0.0007
   100        1.0580             nan     0.0100    0.0004
   120        1.0341             nan     0.0100    0.0005
   140        1.0132             nan     0.0100    0.0004
   160        0.9957             nan     0.0100    0.0003
   180        0.9811             nan     0.0100    0.0002
   200        0.9679             nan     0.0100    0.0001
   220        0.9556             nan     0.0100    0.0001
   240        0.9447             nan     0.0100    0.0002
   260        0.9356             nan     0.0100    0.0001
   280        0.9270             nan     0.0100    0.0002
   300        0.9188             nan     0.0100    0.0001
   320        0.9113             nan     0.0100    0.0001
   340        0.9044             nan     0.0100    0.0001
   360        0.8979             nan     0.0100    0.0001
   380        0.8916             nan     0.0100    0.0001
   400        0.8860             nan     0.0100    0.0001
   420        0.8808             nan     0.0100    0.0000
   440        0.8758             nan     0.0100    0.0001
   460        0.8710             nan     0.0100    0.0000
   480        0.8668             nan     0.0100   -0.0001
   500        0.8629             nan     0.0100    0.0000
   520        0.8586             nan     0.0100    0.0000
   540        0.8550             nan     0.0100    0.0000
   560        0.8513             nan     0.0100    0.0000
   580        0.8477             nan     0.0100    0.0000
   600        0.8442             nan     0.0100    0.0001
   620        0.8409             nan     0.0100   -0.0000
   640        0.8377             nan     0.0100    0.0000
   660        0.8347             nan     0.0100   -0.0000
   680        0.8320             nan     0.0100    0.0000
   700        0.8291             nan     0.0100    0.0000
   720        0.8263             nan     0.0100    0.0000
   740        0.8237             nan     0.0100   -0.0000
   760        0.8212             nan     0.0100    0.0000
   780        0.8187             nan     0.0100    0.0000
   800        0.8164             nan     0.0100   -0.0000
   820        0.8142             nan     0.0100   -0.0001
   840        0.8119             nan     0.0100    0.0000
   860        0.8097             nan     0.0100   -0.0001
   880        0.8075             nan     0.0100   -0.0000
   900        0.8055             nan     0.0100   -0.0000
   920        0.8038             nan     0.0100   -0.0000
   940        0.8018             nan     0.0100   -0.0001
   960        0.8001             nan     0.0100    0.0000
   980        0.7987             nan     0.0100   -0.0000
  1000        0.7967             nan     0.0100   -0.0001
  1020        0.7952             nan     0.0100   -0.0001
  1040        0.7936             nan     0.0100   -0.0000
  1060        0.7918             nan     0.0100   -0.0000
  1080        0.7903             nan     0.0100   -0.0001
  1100        0.7889             nan     0.0100    0.0000

- Fold08.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3245             nan     0.0100    0.0038
     2        1.3176             nan     0.0100    0.0036
     3        1.3112             nan     0.0100    0.0030
     4        1.3046             nan     0.0100    0.0033
     5        1.2979             nan     0.0100    0.0033
     6        1.2918             nan     0.0100    0.0034
     7        1.2853             nan     0.0100    0.0031
     8        1.2787             nan     0.0100    0.0032
     9        1.2727             nan     0.0100    0.0031
    10        1.2666             nan     0.0100    0.0028
    20        1.2105             nan     0.0100    0.0025
    40        1.1263             nan     0.0100    0.0017
    60        1.0630             nan     0.0100    0.0012
    80        1.0159             nan     0.0100    0.0009
   100        0.9793             nan     0.0100    0.0006
   120        0.9500             nan     0.0100    0.0004
   140        0.9269             nan     0.0100    0.0003
   160        0.9075             nan     0.0100    0.0001
   180        0.8913             nan     0.0100    0.0004
   200        0.8777             nan     0.0100    0.0003
   220        0.8658             nan     0.0100    0.0001
   240        0.8556             nan     0.0100    0.0001
   260        0.8461             nan     0.0100    0.0000
   280        0.8371             nan     0.0100    0.0001
   300        0.8288             nan     0.0100    0.0001
   320        0.8220             nan     0.0100    0.0001
   340        0.8146             nan     0.0100    0.0000
   360        0.8083             nan     0.0100   -0.0000
   380        0.8024             nan     0.0100   -0.0000
   400        0.7969             nan     0.0100   -0.0001
   420        0.7921             nan     0.0100   -0.0001
   440        0.7876             nan     0.0100   -0.0001
   460        0.7830             nan     0.0100   -0.0001
   480        0.7784             nan     0.0100   -0.0001
   500        0.7744             nan     0.0100   -0.0000
   520        0.7705             nan     0.0100   -0.0000
   540        0.7670             nan     0.0100   -0.0001
   560        0.7634             nan     0.0100    0.0001
   580        0.7600             nan     0.0100   -0.0001
   600        0.7567             nan     0.0100   -0.0001
   620        0.7540             nan     0.0100   -0.0000
   640        0.7508             nan     0.0100   -0.0001
   660        0.7479             nan     0.0100   -0.0001
   680        0.7450             nan     0.0100   -0.0001
   700        0.7419             nan     0.0100   -0.0001
   720        0.7394             nan     0.0100   -0.0000
   740        0.7370             nan     0.0100   -0.0000
   760        0.7344             nan     0.0100   -0.0001
   780        0.7319             nan     0.0100   -0.0001
   800        0.7295             nan     0.0100    0.0000
   820        0.7273             nan     0.0100   -0.0001
   840        0.7252             nan     0.0100   -0.0001
   860        0.7225             nan     0.0100   -0.0000
   880        0.7203             nan     0.0100    0.0000
   900        0.7180             nan     0.0100   -0.0000
   920        0.7159             nan     0.0100   -0.0000
   940        0.7141             nan     0.0100   -0.0000
   960        0.7117             nan     0.0100   -0.0001
   980        0.7095             nan     0.0100   -0.0001
  1000        0.7077             nan     0.0100   -0.0002
  1020        0.7052             nan     0.0100   -0.0001
  1040        0.7036             nan     0.0100   -0.0000
  1060        0.7016             nan     0.0100   -0.0001
  1080        0.6995             nan     0.0100   -0.0001
  1100        0.6980             nan     0.0100   -0.0001

- Fold08.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3242             nan     0.0100    0.0041
     2        1.3171             nan     0.0100    0.0036
     3        1.3095             nan     0.0100    0.0035
     4        1.3023             nan     0.0100    0.0037
     5        1.2950             nan     0.0100    0.0036
     6        1.2880             nan     0.0100    0.0036
     7        1.2807             nan     0.0100    0.0037
     8        1.2734             nan     0.0100    0.0034
     9        1.2667             nan     0.0100    0.0033
    10        1.2601             nan     0.0100    0.0032
    20        1.1998             nan     0.0100    0.0027
    40        1.1038             nan     0.0100    0.0019
    60        1.0342             nan     0.0100    0.0014
    80        0.9829             nan     0.0100    0.0010
   100        0.9436             nan     0.0100    0.0004
   120        0.9127             nan     0.0100    0.0006
   140        0.8877             nan     0.0100    0.0003
   160        0.8672             nan     0.0100    0.0002
   180        0.8510             nan     0.0100    0.0001
   200        0.8362             nan     0.0100    0.0003
   220        0.8236             nan     0.0100    0.0001
   240        0.8131             nan     0.0100    0.0000
   260        0.8027             nan     0.0100    0.0001
   280        0.7939             nan     0.0100    0.0000
   300        0.7860             nan     0.0100    0.0000
   320        0.7784             nan     0.0100   -0.0001
   340        0.7718             nan     0.0100   -0.0000
   360        0.7651             nan     0.0100   -0.0001
   380        0.7588             nan     0.0100   -0.0001
   400        0.7531             nan     0.0100   -0.0000
   420        0.7483             nan     0.0100   -0.0001
   440        0.7435             nan     0.0100   -0.0000
   460        0.7386             nan     0.0100   -0.0000
   480        0.7340             nan     0.0100    0.0000
   500        0.7296             nan     0.0100   -0.0001
   520        0.7250             nan     0.0100   -0.0001
   540        0.7204             nan     0.0100   -0.0001
   560        0.7168             nan     0.0100   -0.0001
   580        0.7130             nan     0.0100   -0.0001
   600        0.7093             nan     0.0100   -0.0001
   620        0.7060             nan     0.0100   -0.0001
   640        0.7024             nan     0.0100   -0.0001
   660        0.6991             nan     0.0100   -0.0002
   680        0.6957             nan     0.0100   -0.0001
   700        0.6925             nan     0.0100   -0.0000
   720        0.6891             nan     0.0100   -0.0001
   740        0.6863             nan     0.0100   -0.0001
   760        0.6835             nan     0.0100   -0.0000
   780        0.6809             nan     0.0100   -0.0002
   800        0.6778             nan     0.0100   -0.0001
   820        0.6754             nan     0.0100    0.0000
   840        0.6726             nan     0.0100   -0.0002
   860        0.6690             nan     0.0100    0.0001
   880        0.6658             nan     0.0100   -0.0001
   900        0.6631             nan     0.0100   -0.0001
   920        0.6603             nan     0.0100   -0.0001
   940        0.6575             nan     0.0100   -0.0001
   960        0.6549             nan     0.0100    0.0000
   980        0.6524             nan     0.0100   -0.0001
  1000        0.6499             nan     0.0100   -0.0000
  1020        0.6474             nan     0.0100   -0.0000
  1040        0.6447             nan     0.0100   -0.0001
  1060        0.6421             nan     0.0100   -0.0001
  1080        0.6398             nan     0.0100   -0.0001
  1100        0.6374             nan     0.0100   -0.0000

- Fold08.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2773             nan     0.1000    0.0273
     2        1.2345             nan     0.1000    0.0218
     3        1.1992             nan     0.1000    0.0186
     4        1.1681             nan     0.1000    0.0154
     5        1.1422             nan     0.1000    0.0125
     6        1.1218             nan     0.1000    0.0102
     7        1.1047             nan     0.1000    0.0089
     8        1.0877             nan     0.1000    0.0068
     9        1.0713             nan     0.1000    0.0058
    10        1.0574             nan     0.1000    0.0070
    20        0.9649             nan     0.1000    0.0024
    40        0.8851             nan     0.1000    0.0001
    60        0.8429             nan     0.1000    0.0001
    80        0.8170             nan     0.1000   -0.0002
   100        0.7989             nan     0.1000   -0.0001
   120        0.7866             nan     0.1000   -0.0005
   140        0.7745             nan     0.1000   -0.0003
   160        0.7635             nan     0.1000   -0.0007
   180        0.7559             nan     0.1000   -0.0012
   200        0.7491             nan     0.1000   -0.0009
   220        0.7415             nan     0.1000   -0.0003
   240        0.7356             nan     0.1000   -0.0005
   260        0.7301             nan     0.1000   -0.0004
   280        0.7246             nan     0.1000   -0.0010
   300        0.7207             nan     0.1000   -0.0001
   320        0.7176             nan     0.1000   -0.0005
   340        0.7124             nan     0.1000   -0.0012
   360        0.7083             nan     0.1000   -0.0003
   380        0.7053             nan     0.1000   -0.0001
   400        0.7021             nan     0.1000   -0.0007
   420        0.6982             nan     0.1000   -0.0004
   440        0.6956             nan     0.1000   -0.0011
   460        0.6928             nan     0.1000   -0.0007
   480        0.6902             nan     0.1000   -0.0005
   500        0.6884             nan     0.1000   -0.0010
   520        0.6835             nan     0.1000   -0.0008
   540        0.6814             nan     0.1000   -0.0003
   560        0.6800             nan     0.1000   -0.0007
   580        0.6786             nan     0.1000   -0.0008
   600        0.6760             nan     0.1000   -0.0008
   620        0.6740             nan     0.1000   -0.0005
   640        0.6729             nan     0.1000   -0.0004
   660        0.6695             nan     0.1000   -0.0008
   680        0.6680             nan     0.1000   -0.0003
   700        0.6653             nan     0.1000   -0.0006
   720        0.6635             nan     0.1000   -0.0010
   740        0.6624             nan     0.1000   -0.0005
   760        0.6598             nan     0.1000   -0.0003
   780        0.6569             nan     0.1000   -0.0006
   800        0.6563             nan     0.1000   -0.0003
   820        0.6549             nan     0.1000   -0.0009
   840        0.6545             nan     0.1000   -0.0015
   860        0.6521             nan     0.1000   -0.0005
   880        0.6519             nan     0.1000   -0.0019
   900        0.6508             nan     0.1000   -0.0007
   920        0.6493             nan     0.1000   -0.0005
   940        0.6487             nan     0.1000   -0.0010
   960        0.6469             nan     0.1000   -0.0008
   980        0.6461             nan     0.1000   -0.0012
  1000        0.6453             nan     0.1000   -0.0022
  1020        0.6440             nan     0.1000   -0.0009
  1040        0.6420             nan     0.1000   -0.0008
  1060        0.6412             nan     0.1000   -0.0016
  1080        0.6402             nan     0.1000   -0.0009
  1100        0.6382             nan     0.1000   -0.0004

- Fold08.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2620             nan     0.1000    0.0341
     2        1.2027             nan     0.1000    0.0269
     3        1.1514             nan     0.1000    0.0233
     4        1.1143             nan     0.1000    0.0188
     5        1.0821             nan     0.1000    0.0135
     6        1.0526             nan     0.1000    0.0131
     7        1.0313             nan     0.1000    0.0110
     8        1.0120             nan     0.1000    0.0086
     9        0.9944             nan     0.1000    0.0099
    10        0.9776             nan     0.1000    0.0071
    20        0.8799             nan     0.1000    0.0017
    40        0.7960             nan     0.1000   -0.0005
    60        0.7558             nan     0.1000   -0.0001
    80        0.7276             nan     0.1000    0.0002
   100        0.7070             nan     0.1000   -0.0006
   120        0.6902             nan     0.1000   -0.0008
   140        0.6730             nan     0.1000   -0.0009
   160        0.6584             nan     0.1000   -0.0015
   180        0.6458             nan     0.1000   -0.0009
   200        0.6336             nan     0.1000   -0.0017
   220        0.6246             nan     0.1000   -0.0013
   240        0.6129             nan     0.1000   -0.0009
   260        0.6059             nan     0.1000   -0.0013
   280        0.5977             nan     0.1000   -0.0016
   300        0.5888             nan     0.1000   -0.0014
   320        0.5810             nan     0.1000   -0.0016
   340        0.5698             nan     0.1000   -0.0015
   360        0.5610             nan     0.1000   -0.0010
   380        0.5527             nan     0.1000   -0.0012
   400        0.5458             nan     0.1000   -0.0011
   420        0.5392             nan     0.1000   -0.0009
   440        0.5331             nan     0.1000   -0.0010
   460        0.5280             nan     0.1000   -0.0008
   480        0.5237             nan     0.1000   -0.0001
   500        0.5182             nan     0.1000   -0.0008
   520        0.5116             nan     0.1000   -0.0001
   540        0.5082             nan     0.1000   -0.0004
   560        0.5033             nan     0.1000   -0.0008
   580        0.4966             nan     0.1000   -0.0006
   600        0.4912             nan     0.1000   -0.0009
   620        0.4849             nan     0.1000   -0.0017
   640        0.4792             nan     0.1000   -0.0010
   660        0.4755             nan     0.1000   -0.0003
   680        0.4722             nan     0.1000   -0.0009
   700        0.4666             nan     0.1000   -0.0014
   720        0.4617             nan     0.1000   -0.0008
   740        0.4576             nan     0.1000   -0.0006
   760        0.4529             nan     0.1000   -0.0005
   780        0.4514             nan     0.1000   -0.0007
   800        0.4483             nan     0.1000   -0.0012
   820        0.4437             nan     0.1000   -0.0006
   840        0.4389             nan     0.1000   -0.0004
   860        0.4357             nan     0.1000   -0.0008
   880        0.4316             nan     0.1000   -0.0006
   900        0.4274             nan     0.1000   -0.0005
   920        0.4249             nan     0.1000   -0.0010
   940        0.4219             nan     0.1000   -0.0011
   960        0.4181             nan     0.1000   -0.0006
   980        0.4151             nan     0.1000   -0.0006
  1000        0.4113             nan     0.1000   -0.0007
  1020        0.4081             nan     0.1000   -0.0005
  1040        0.4037             nan     0.1000   -0.0014
  1060        0.4017             nan     0.1000   -0.0005
  1080        0.3996             nan     0.1000   -0.0008
  1100        0.3958             nan     0.1000   -0.0009

- Fold08.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2554             nan     0.1000    0.0386
     2        1.1970             nan     0.1000    0.0298
     3        1.1458             nan     0.1000    0.0266
     4        1.1021             nan     0.1000    0.0177
     5        1.0658             nan     0.1000    0.0141
     6        1.0341             nan     0.1000    0.0152
     7        1.0050             nan     0.1000    0.0136
     8        0.9807             nan     0.1000    0.0123
     9        0.9590             nan     0.1000    0.0092
    10        0.9436             nan     0.1000    0.0057
    20        0.8376             nan     0.1000    0.0013
    40        0.7585             nan     0.1000   -0.0013
    60        0.7137             nan     0.1000   -0.0005
    80        0.6821             nan     0.1000   -0.0018
   100        0.6536             nan     0.1000   -0.0009
   120        0.6297             nan     0.1000   -0.0008
   140        0.6083             nan     0.1000   -0.0014
   160        0.5874             nan     0.1000   -0.0022
   180        0.5709             nan     0.1000   -0.0017
   200        0.5570             nan     0.1000   -0.0023
   220        0.5408             nan     0.1000   -0.0020
   240        0.5279             nan     0.1000   -0.0007
   260        0.5133             nan     0.1000   -0.0008
   280        0.5007             nan     0.1000   -0.0012
   300        0.4930             nan     0.1000   -0.0018
   320        0.4826             nan     0.1000   -0.0012
   340        0.4738             nan     0.1000   -0.0013
   360        0.4659             nan     0.1000   -0.0008
   380        0.4539             nan     0.1000   -0.0013
   400        0.4453             nan     0.1000   -0.0010
   420        0.4366             nan     0.1000   -0.0010
   440        0.4280             nan     0.1000   -0.0009
   460        0.4203             nan     0.1000   -0.0008
   480        0.4122             nan     0.1000   -0.0003
   500        0.4072             nan     0.1000   -0.0010
   520        0.4024             nan     0.1000   -0.0008
   540        0.3970             nan     0.1000   -0.0009
   560        0.3902             nan     0.1000   -0.0003
   580        0.3843             nan     0.1000   -0.0015
   600        0.3774             nan     0.1000   -0.0014
   620        0.3705             nan     0.1000   -0.0013
   640        0.3650             nan     0.1000   -0.0017
   660        0.3603             nan     0.1000   -0.0009
   680        0.3546             nan     0.1000   -0.0008
   700        0.3483             nan     0.1000   -0.0011
   720        0.3435             nan     0.1000   -0.0007
   740        0.3379             nan     0.1000   -0.0004
   760        0.3335             nan     0.1000   -0.0011
   780        0.3257             nan     0.1000   -0.0009
   800        0.3230             nan     0.1000   -0.0011
   820        0.3182             nan     0.1000   -0.0008
   840        0.3134             nan     0.1000   -0.0010
   860        0.3094             nan     0.1000   -0.0011
   880        0.3058             nan     0.1000   -0.0008
   900        0.3010             nan     0.1000   -0.0009
   920        0.2967             nan     0.1000   -0.0004
   940        0.2941             nan     0.1000   -0.0010
   960        0.2906             nan     0.1000   -0.0009
   980        0.2865             nan     0.1000   -0.0009
  1000        0.2820             nan     0.1000   -0.0006
  1020        0.2793             nan     0.1000   -0.0013
  1040        0.2756             nan     0.1000   -0.0008
  1060        0.2722             nan     0.1000   -0.0010
  1080        0.2705             nan     0.1000   -0.0013
  1100        0.2664             nan     0.1000   -0.0010

- Fold08.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3259             nan     0.0100    0.0031
     2        1.3198             nan     0.0100    0.0029
     3        1.3146             nan     0.0100    0.0029
     4        1.3085             nan     0.0100    0.0029
     5        1.3028             nan     0.0100    0.0027
     6        1.2978             nan     0.0100    0.0028
     7        1.2922             nan     0.0100    0.0026
     8        1.2868             nan     0.0100    0.0027
     9        1.2817             nan     0.0100    0.0025
    10        1.2759             nan     0.0100    0.0026
    20        1.2284             nan     0.0100    0.0020
    40        1.1555             nan     0.0100    0.0014
    60        1.1058             nan     0.0100    0.0010
    80        1.0680             nan     0.0100    0.0008
   100        1.0371             nan     0.0100    0.0006
   120        1.0114             nan     0.0100    0.0005
   140        0.9893             nan     0.0100    0.0004
   160        0.9708             nan     0.0100    0.0003
   180        0.9556             nan     0.0100    0.0003
   200        0.9414             nan     0.0100    0.0003
   220        0.9296             nan     0.0100    0.0001
   240        0.9187             nan     0.0100    0.0002
   260        0.9089             nan     0.0100    0.0001
   280        0.8995             nan     0.0100    0.0001
   300        0.8915             nan     0.0100    0.0001
   320        0.8839             nan     0.0100    0.0001
   340        0.8779             nan     0.0100    0.0001
   360        0.8718             nan     0.0100    0.0001
   380        0.8653             nan     0.0100    0.0001
   400        0.8600             nan     0.0100    0.0001
   420        0.8553             nan     0.0100    0.0001
   440        0.8502             nan     0.0100    0.0001
   460        0.8460             nan     0.0100    0.0001
   480        0.8419             nan     0.0100   -0.0000
   500        0.8384             nan     0.0100    0.0000
   520        0.8349             nan     0.0100   -0.0000
   540        0.8316             nan     0.0100    0.0001
   560        0.8281             nan     0.0100    0.0000
   580        0.8250             nan     0.0100   -0.0001
   600        0.8220             nan     0.0100   -0.0000
   620        0.8188             nan     0.0100   -0.0000
   640        0.8163             nan     0.0100    0.0000
   660        0.8136             nan     0.0100    0.0000
   680        0.8110             nan     0.0100   -0.0000
   700        0.8087             nan     0.0100    0.0000
   720        0.8063             nan     0.0100   -0.0000
   740        0.8038             nan     0.0100   -0.0001
   760        0.8015             nan     0.0100   -0.0000
   780        0.7991             nan     0.0100    0.0000
   800        0.7970             nan     0.0100    0.0000
   820        0.7948             nan     0.0100   -0.0000
   840        0.7926             nan     0.0100    0.0000
   860        0.7907             nan     0.0100   -0.0001
   880        0.7888             nan     0.0100   -0.0001
   900        0.7871             nan     0.0100   -0.0000
   920        0.7852             nan     0.0100   -0.0001
   940        0.7835             nan     0.0100    0.0000
   960        0.7821             nan     0.0100   -0.0001
   980        0.7804             nan     0.0100   -0.0000
  1000        0.7786             nan     0.0100   -0.0000
  1020        0.7769             nan     0.0100   -0.0001
  1040        0.7752             nan     0.0100   -0.0001
  1060        0.7738             nan     0.0100   -0.0001
  1080        0.7724             nan     0.0100    0.0000
  1100        0.7713             nan     0.0100   -0.0000

- Fold09.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3247             nan     0.0100    0.0037
     2        1.3170             nan     0.0100    0.0037
     3        1.3093             nan     0.0100    0.0037
     4        1.3022             nan     0.0100    0.0033
     5        1.2952             nan     0.0100    0.0035
     6        1.2884             nan     0.0100    0.0032
     7        1.2822             nan     0.0100    0.0031
     8        1.2762             nan     0.0100    0.0032
     9        1.2692             nan     0.0100    0.0032
    10        1.2630             nan     0.0100    0.0033
    20        1.2041             nan     0.0100    0.0027
    40        1.1133             nan     0.0100    0.0018
    60        1.0479             nan     0.0100    0.0013
    80        0.9980             nan     0.0100    0.0010
   100        0.9595             nan     0.0100    0.0007
   120        0.9289             nan     0.0100    0.0005
   140        0.9050             nan     0.0100    0.0005
   160        0.8858             nan     0.0100    0.0001
   180        0.8697             nan     0.0100    0.0001
   200        0.8557             nan     0.0100    0.0001
   220        0.8440             nan     0.0100    0.0001
   240        0.8332             nan     0.0100    0.0000
   260        0.8247             nan     0.0100    0.0002
   280        0.8168             nan     0.0100   -0.0001
   300        0.8092             nan     0.0100    0.0000
   320        0.8021             nan     0.0100    0.0000
   340        0.7952             nan     0.0100    0.0001
   360        0.7896             nan     0.0100   -0.0001
   380        0.7841             nan     0.0100    0.0000
   400        0.7787             nan     0.0100    0.0001
   420        0.7737             nan     0.0100   -0.0000
   440        0.7690             nan     0.0100    0.0001
   460        0.7649             nan     0.0100   -0.0001
   480        0.7609             nan     0.0100   -0.0000
   500        0.7572             nan     0.0100   -0.0001
   520        0.7533             nan     0.0100    0.0000
   540        0.7499             nan     0.0100    0.0000
   560        0.7470             nan     0.0100   -0.0001
   580        0.7437             nan     0.0100    0.0001
   600        0.7405             nan     0.0100   -0.0000
   620        0.7375             nan     0.0100   -0.0001
   640        0.7348             nan     0.0100   -0.0001
   660        0.7315             nan     0.0100   -0.0002
   680        0.7288             nan     0.0100   -0.0001
   700        0.7266             nan     0.0100   -0.0000
   720        0.7241             nan     0.0100   -0.0001
   740        0.7215             nan     0.0100   -0.0000
   760        0.7191             nan     0.0100    0.0000
   780        0.7171             nan     0.0100   -0.0002
   800        0.7149             nan     0.0100   -0.0001
   820        0.7126             nan     0.0100   -0.0001
   840        0.7103             nan     0.0100   -0.0001
   860        0.7079             nan     0.0100   -0.0000
   880        0.7059             nan     0.0100   -0.0001
   900        0.7033             nan     0.0100   -0.0001
   920        0.7012             nan     0.0100   -0.0000
   940        0.6993             nan     0.0100   -0.0001
   960        0.6975             nan     0.0100   -0.0001
   980        0.6954             nan     0.0100   -0.0001
  1000        0.6931             nan     0.0100   -0.0001
  1020        0.6912             nan     0.0100   -0.0001
  1040        0.6892             nan     0.0100   -0.0001
  1060        0.6870             nan     0.0100   -0.0000
  1080        0.6849             nan     0.0100   -0.0002
  1100        0.6832             nan     0.0100   -0.0002

- Fold09.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3239             nan     0.0100    0.0039
     2        1.3153             nan     0.0100    0.0040
     3        1.3069             nan     0.0100    0.0039
     4        1.2992             nan     0.0100    0.0037
     5        1.2921             nan     0.0100    0.0038
     6        1.2840             nan     0.0100    0.0035
     7        1.2765             nan     0.0100    0.0037
     8        1.2693             nan     0.0100    0.0034
     9        1.2619             nan     0.0100    0.0036
    10        1.2550             nan     0.0100    0.0036
    20        1.1935             nan     0.0100    0.0027
    40        1.0954             nan     0.0100    0.0017
    60        1.0227             nan     0.0100    0.0014
    80        0.9686             nan     0.0100    0.0011
   100        0.9268             nan     0.0100    0.0008
   120        0.8942             nan     0.0100    0.0005
   140        0.8687             nan     0.0100    0.0004
   160        0.8489             nan     0.0100    0.0003
   180        0.8333             nan     0.0100    0.0001
   200        0.8184             nan     0.0100    0.0001
   220        0.8063             nan     0.0100    0.0001
   240        0.7959             nan     0.0100    0.0000
   260        0.7865             nan     0.0100    0.0001
   280        0.7773             nan     0.0100    0.0002
   300        0.7697             nan     0.0100   -0.0001
   320        0.7627             nan     0.0100    0.0001
   340        0.7561             nan     0.0100   -0.0001
   360        0.7497             nan     0.0100    0.0001
   380        0.7444             nan     0.0100   -0.0001
   400        0.7388             nan     0.0100    0.0001
   420        0.7331             nan     0.0100   -0.0001
   440        0.7281             nan     0.0100   -0.0001
   460        0.7236             nan     0.0100   -0.0001
   480        0.7188             nan     0.0100   -0.0001
   500        0.7141             nan     0.0100   -0.0001
   520        0.7100             nan     0.0100   -0.0001
   540        0.7063             nan     0.0100   -0.0002
   560        0.7019             nan     0.0100   -0.0001
   580        0.6982             nan     0.0100   -0.0001
   600        0.6940             nan     0.0100   -0.0000
   620        0.6904             nan     0.0100   -0.0001
   640        0.6869             nan     0.0100   -0.0001
   660        0.6839             nan     0.0100   -0.0000
   680        0.6807             nan     0.0100   -0.0001
   700        0.6776             nan     0.0100   -0.0001
   720        0.6746             nan     0.0100   -0.0002
   740        0.6715             nan     0.0100   -0.0001
   760        0.6684             nan     0.0100    0.0000
   780        0.6653             nan     0.0100   -0.0001
   800        0.6626             nan     0.0100   -0.0001
   820        0.6594             nan     0.0100   -0.0003
   840        0.6568             nan     0.0100   -0.0001
   860        0.6540             nan     0.0100   -0.0000
   880        0.6507             nan     0.0100   -0.0001
   900        0.6483             nan     0.0100   -0.0001
   920        0.6454             nan     0.0100   -0.0002
   940        0.6428             nan     0.0100   -0.0001
   960        0.6406             nan     0.0100   -0.0001
   980        0.6379             nan     0.0100   -0.0001
  1000        0.6358             nan     0.0100   -0.0000
  1020        0.6334             nan     0.0100   -0.0002
  1040        0.6309             nan     0.0100   -0.0001
  1060        0.6288             nan     0.0100   -0.0001
  1080        0.6269             nan     0.0100   -0.0002
  1100        0.6248             nan     0.0100   -0.0001

- Fold09.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2780             nan     0.1000    0.0293
     2        1.2315             nan     0.1000    0.0240
     3        1.1873             nan     0.1000    0.0190
     4        1.1564             nan     0.1000    0.0171
     5        1.1273             nan     0.1000    0.0134
     6        1.1022             nan     0.1000    0.0112
     7        1.0813             nan     0.1000    0.0087
     8        1.0659             nan     0.1000    0.0077
     9        1.0483             nan     0.1000    0.0085
    10        1.0341             nan     0.1000    0.0066
    20        0.9393             nan     0.1000    0.0019
    40        0.8609             nan     0.1000    0.0002
    60        0.8257             nan     0.1000   -0.0005
    80        0.7956             nan     0.1000    0.0000
   100        0.7789             nan     0.1000    0.0000
   120        0.7647             nan     0.1000   -0.0002
   140        0.7515             nan     0.1000   -0.0002
   160        0.7440             nan     0.1000   -0.0008
   180        0.7369             nan     0.1000   -0.0008
   200        0.7316             nan     0.1000   -0.0005
   220        0.7259             nan     0.1000   -0.0011
   240        0.7186             nan     0.1000   -0.0003
   260        0.7143             nan     0.1000   -0.0006
   280        0.7080             nan     0.1000   -0.0004
   300        0.7048             nan     0.1000   -0.0004
   320        0.7016             nan     0.1000   -0.0007
   340        0.6986             nan     0.1000   -0.0009
   360        0.6949             nan     0.1000   -0.0010
   380        0.6935             nan     0.1000   -0.0017
   400        0.6907             nan     0.1000   -0.0009
   420        0.6886             nan     0.1000   -0.0012
   440        0.6856             nan     0.1000   -0.0006
   460        0.6816             nan     0.1000   -0.0006
   480        0.6793             nan     0.1000   -0.0006
   500        0.6781             nan     0.1000   -0.0009
   520        0.6747             nan     0.1000   -0.0004
   540        0.6732             nan     0.1000   -0.0008
   560        0.6716             nan     0.1000   -0.0017
   580        0.6701             nan     0.1000   -0.0006
   600        0.6683             nan     0.1000   -0.0012
   620        0.6659             nan     0.1000   -0.0013
   640        0.6651             nan     0.1000   -0.0008
   660        0.6630             nan     0.1000   -0.0006
   680        0.6616             nan     0.1000   -0.0007
   700        0.6605             nan     0.1000   -0.0004
   720        0.6590             nan     0.1000   -0.0006
   740        0.6570             nan     0.1000   -0.0003
   760        0.6551             nan     0.1000   -0.0013
   780        0.6537             nan     0.1000   -0.0010
   800        0.6527             nan     0.1000   -0.0004
   820        0.6524             nan     0.1000   -0.0010
   840        0.6505             nan     0.1000   -0.0004
   860        0.6497             nan     0.1000   -0.0009
   880        0.6484             nan     0.1000   -0.0014
   900        0.6465             nan     0.1000   -0.0007
   920        0.6455             nan     0.1000   -0.0007
   940        0.6435             nan     0.1000   -0.0008
   960        0.6422             nan     0.1000   -0.0004
   980        0.6405             nan     0.1000   -0.0012
  1000        0.6392             nan     0.1000   -0.0008
  1020        0.6380             nan     0.1000   -0.0005
  1040        0.6366             nan     0.1000   -0.0004
  1060        0.6353             nan     0.1000   -0.0003
  1080        0.6343             nan     0.1000   -0.0011
  1100        0.6333             nan     0.1000   -0.0008

- Fold09.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2591             nan     0.1000    0.0336
     2        1.1987             nan     0.1000    0.0312
     3        1.1488             nan     0.1000    0.0243
     4        1.1070             nan     0.1000    0.0195
     5        1.0700             nan     0.1000    0.0161
     6        1.0379             nan     0.1000    0.0151
     7        1.0082             nan     0.1000    0.0121
     8        0.9867             nan     0.1000    0.0106
     9        0.9676             nan     0.1000    0.0083
    10        0.9505             nan     0.1000    0.0068
    20        0.8493             nan     0.1000    0.0015
    40        0.7767             nan     0.1000   -0.0012
    60        0.7394             nan     0.1000   -0.0008
    80        0.7137             nan     0.1000   -0.0008
   100        0.6908             nan     0.1000   -0.0005
   120        0.6722             nan     0.1000   -0.0011
   140        0.6569             nan     0.1000   -0.0028
   160        0.6451             nan     0.1000   -0.0016
   180        0.6323             nan     0.1000   -0.0005
   200        0.6223             nan     0.1000   -0.0007
   220        0.6112             nan     0.1000    0.0003
   240        0.6005             nan     0.1000   -0.0008
   260        0.5918             nan     0.1000   -0.0011
   280        0.5810             nan     0.1000   -0.0000
   300        0.5740             nan     0.1000   -0.0013
   320        0.5660             nan     0.1000   -0.0008
   340        0.5576             nan     0.1000   -0.0016
   360        0.5493             nan     0.1000   -0.0005
   380        0.5432             nan     0.1000   -0.0015
   400        0.5335             nan     0.1000   -0.0007
   420        0.5250             nan     0.1000   -0.0007
   440        0.5169             nan     0.1000   -0.0006
   460        0.5124             nan     0.1000   -0.0008
   480        0.5069             nan     0.1000   -0.0005
   500        0.5022             nan     0.1000   -0.0006
   520        0.4957             nan     0.1000   -0.0013
   540        0.4903             nan     0.1000   -0.0003
   560        0.4856             nan     0.1000   -0.0011
   580        0.4811             nan     0.1000   -0.0005
   600        0.4767             nan     0.1000   -0.0011
   620        0.4728             nan     0.1000   -0.0013
   640        0.4705             nan     0.1000   -0.0005
   660        0.4652             nan     0.1000   -0.0007
   680        0.4607             nan     0.1000   -0.0010
   700        0.4555             nan     0.1000   -0.0003
   720        0.4507             nan     0.1000   -0.0008
   740        0.4466             nan     0.1000   -0.0012
   760        0.4417             nan     0.1000   -0.0009
   780        0.4378             nan     0.1000   -0.0007
   800        0.4331             nan     0.1000   -0.0013
   820        0.4298             nan     0.1000   -0.0008
   840        0.4244             nan     0.1000   -0.0008
   860        0.4215             nan     0.1000   -0.0007
   880        0.4181             nan     0.1000   -0.0017
   900        0.4137             nan     0.1000   -0.0009
   920        0.4113             nan     0.1000   -0.0012
   940        0.4064             nan     0.1000   -0.0013
   960        0.4023             nan     0.1000   -0.0010
   980        0.3984             nan     0.1000   -0.0011
  1000        0.3964             nan     0.1000   -0.0007
  1020        0.3914             nan     0.1000   -0.0006
  1040        0.3892             nan     0.1000   -0.0008
  1060        0.3857             nan     0.1000   -0.0009
  1080        0.3820             nan     0.1000   -0.0007
  1100        0.3800             nan     0.1000   -0.0009

- Fold09.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2583             nan     0.1000    0.0384
     2        1.1913             nan     0.1000    0.0321
     3        1.1359             nan     0.1000    0.0271
     4        1.0922             nan     0.1000    0.0224
     5        1.0529             nan     0.1000    0.0169
     6        1.0179             nan     0.1000    0.0158
     7        0.9896             nan     0.1000    0.0117
     8        0.9631             nan     0.1000    0.0121
     9        0.9386             nan     0.1000    0.0101
    10        0.9175             nan     0.1000    0.0081
    20        0.8167             nan     0.1000    0.0015
    40        0.7357             nan     0.1000   -0.0004
    60        0.7034             nan     0.1000   -0.0005
    80        0.6742             nan     0.1000   -0.0004
   100        0.6422             nan     0.1000   -0.0001
   120        0.6194             nan     0.1000   -0.0010
   140        0.6040             nan     0.1000   -0.0028
   160        0.5878             nan     0.1000   -0.0005
   180        0.5695             nan     0.1000   -0.0008
   200        0.5555             nan     0.1000   -0.0010
   220        0.5398             nan     0.1000   -0.0016
   240        0.5261             nan     0.1000   -0.0012
   260        0.5116             nan     0.1000   -0.0010
   280        0.4982             nan     0.1000   -0.0011
   300        0.4878             nan     0.1000   -0.0013
   320        0.4758             nan     0.1000   -0.0013
   340        0.4671             nan     0.1000   -0.0010
   360        0.4623             nan     0.1000   -0.0010
   380        0.4542             nan     0.1000   -0.0018
   400        0.4459             nan     0.1000   -0.0007
   420        0.4339             nan     0.1000   -0.0011
   440        0.4265             nan     0.1000   -0.0014
   460        0.4167             nan     0.1000   -0.0018
   480        0.4076             nan     0.1000   -0.0021
   500        0.4003             nan     0.1000   -0.0010
   520        0.3927             nan     0.1000   -0.0017
   540        0.3876             nan     0.1000   -0.0011
   560        0.3831             nan     0.1000   -0.0016
   580        0.3765             nan     0.1000   -0.0003
   600        0.3710             nan     0.1000   -0.0014
   620        0.3661             nan     0.1000   -0.0010
   640        0.3599             nan     0.1000   -0.0015
   660        0.3527             nan     0.1000   -0.0012
   680        0.3472             nan     0.1000   -0.0007
   700        0.3426             nan     0.1000   -0.0012
   720        0.3387             nan     0.1000   -0.0007
   740        0.3336             nan     0.1000   -0.0007
   760        0.3269             nan     0.1000   -0.0009
   780        0.3227             nan     0.1000   -0.0005
   800        0.3187             nan     0.1000   -0.0014
   820        0.3120             nan     0.1000   -0.0008
   840        0.3062             nan     0.1000   -0.0014
   860        0.3018             nan     0.1000   -0.0008
   880        0.2985             nan     0.1000   -0.0004
   900        0.2930             nan     0.1000   -0.0018
   920        0.2888             nan     0.1000   -0.0009
   940        0.2842             nan     0.1000   -0.0007
   960        0.2804             nan     0.1000   -0.0010
   980        0.2766             nan     0.1000   -0.0007
  1000        0.2722             nan     0.1000   -0.0008
  1020        0.2687             nan     0.1000   -0.0013
  1040        0.2658             nan     0.1000   -0.0011
  1060        0.2611             nan     0.1000   -0.0007
  1080        0.2581             nan     0.1000   -0.0010
  1100        0.2560             nan     0.1000   -0.0005

- Fold09.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3270             nan     0.0100    0.0028
     2        1.3214             nan     0.0100    0.0029
     3        1.3155             nan     0.0100    0.0026
     4        1.3102             nan     0.0100    0.0028
     5        1.3048             nan     0.0100    0.0027
     6        1.2993             nan     0.0100    0.0026
     7        1.2938             nan     0.0100    0.0025
     8        1.2892             nan     0.0100    0.0025
     9        1.2840             nan     0.0100    0.0025
    10        1.2796             nan     0.0100    0.0022
    20        1.2353             nan     0.0100    0.0021
    40        1.1682             nan     0.0100    0.0013
    60        1.1202             nan     0.0100    0.0010
    80        1.0848             nan     0.0100    0.0007
   100        1.0561             nan     0.0100    0.0005
   120        1.0310             nan     0.0100    0.0005
   140        1.0107             nan     0.0100    0.0003
   160        0.9927             nan     0.0100    0.0003
   180        0.9776             nan     0.0100    0.0003
   200        0.9653             nan     0.0100    0.0003
   220        0.9536             nan     0.0100    0.0002
   240        0.9435             nan     0.0100    0.0002
   260        0.9342             nan     0.0100    0.0001
   280        0.9261             nan     0.0100    0.0001
   300        0.9182             nan     0.0100    0.0002
   320        0.9115             nan     0.0100    0.0000
   340        0.9047             nan     0.0100    0.0001
   360        0.8990             nan     0.0100    0.0001
   380        0.8930             nan     0.0100    0.0001
   400        0.8877             nan     0.0100    0.0000
   420        0.8831             nan     0.0100   -0.0001
   440        0.8786             nan     0.0100   -0.0000
   460        0.8744             nan     0.0100    0.0000
   480        0.8705             nan     0.0100    0.0000
   500        0.8669             nan     0.0100   -0.0001
   520        0.8629             nan     0.0100   -0.0000
   540        0.8594             nan     0.0100   -0.0000
   560        0.8561             nan     0.0100    0.0000
   580        0.8526             nan     0.0100   -0.0000
   600        0.8496             nan     0.0100   -0.0000
   620        0.8469             nan     0.0100   -0.0000
   640        0.8441             nan     0.0100    0.0000
   660        0.8415             nan     0.0100    0.0000
   680        0.8390             nan     0.0100   -0.0000
   700        0.8364             nan     0.0100   -0.0001
   720        0.8343             nan     0.0100   -0.0000
   740        0.8320             nan     0.0100   -0.0000
   760        0.8298             nan     0.0100   -0.0001
   780        0.8277             nan     0.0100   -0.0001
   800        0.8257             nan     0.0100   -0.0000
   820        0.8236             nan     0.0100   -0.0000
   840        0.8215             nan     0.0100   -0.0000
   860        0.8197             nan     0.0100   -0.0000
   880        0.8179             nan     0.0100   -0.0001
   900        0.8161             nan     0.0100    0.0000
   920        0.8145             nan     0.0100   -0.0001
   940        0.8127             nan     0.0100   -0.0000
   960        0.8111             nan     0.0100   -0.0000
   980        0.8097             nan     0.0100   -0.0000
  1000        0.8081             nan     0.0100   -0.0001
  1020        0.8065             nan     0.0100   -0.0001
  1040        0.8052             nan     0.0100   -0.0001
  1060        0.8038             nan     0.0100   -0.0001
  1080        0.8026             nan     0.0100   -0.0000
  1100        0.8014             nan     0.0100   -0.0000

- Fold10.Rep3: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3253             nan     0.0100    0.0034
     2        1.3184             nan     0.0100    0.0035
     3        1.3113             nan     0.0100    0.0034
     4        1.3050             nan     0.0100    0.0034
     5        1.2984             nan     0.0100    0.0034
     6        1.2917             nan     0.0100    0.0033
     7        1.2853             nan     0.0100    0.0029
     8        1.2788             nan     0.0100    0.0031
     9        1.2725             nan     0.0100    0.0030
    10        1.2663             nan     0.0100    0.0027
    20        1.2106             nan     0.0100    0.0024
    40        1.1253             nan     0.0100    0.0017
    60        1.0628             nan     0.0100    0.0013
    80        1.0163             nan     0.0100    0.0009
   100        0.9798             nan     0.0100    0.0007
   120        0.9507             nan     0.0100    0.0005
   140        0.9275             nan     0.0100    0.0004
   160        0.9096             nan     0.0100    0.0002
   180        0.8940             nan     0.0100    0.0004
   200        0.8812             nan     0.0100    0.0001
   220        0.8696             nan     0.0100    0.0002
   240        0.8598             nan     0.0100    0.0000
   260        0.8515             nan     0.0100    0.0001
   280        0.8437             nan     0.0100    0.0000
   300        0.8358             nan     0.0100    0.0001
   320        0.8286             nan     0.0100    0.0002
   340        0.8223             nan     0.0100    0.0001
   360        0.8163             nan     0.0100    0.0001
   380        0.8109             nan     0.0100    0.0001
   400        0.8055             nan     0.0100   -0.0000
   420        0.8005             nan     0.0100   -0.0000
   440        0.7957             nan     0.0100    0.0000
   460        0.7915             nan     0.0100   -0.0000
   480        0.7875             nan     0.0100   -0.0001
   500        0.7836             nan     0.0100   -0.0001
   520        0.7799             nan     0.0100   -0.0000
   540        0.7761             nan     0.0100   -0.0000
   560        0.7729             nan     0.0100   -0.0000
   580        0.7702             nan     0.0100   -0.0000
   600        0.7672             nan     0.0100   -0.0001
   620        0.7642             nan     0.0100   -0.0001
   640        0.7610             nan     0.0100    0.0000
   660        0.7580             nan     0.0100   -0.0001
   680        0.7554             nan     0.0100   -0.0002
   700        0.7527             nan     0.0100   -0.0002
   720        0.7503             nan     0.0100   -0.0001
   740        0.7477             nan     0.0100   -0.0001
   760        0.7457             nan     0.0100   -0.0001
   780        0.7428             nan     0.0100   -0.0000
   800        0.7403             nan     0.0100   -0.0002
   820        0.7382             nan     0.0100   -0.0000
   840        0.7361             nan     0.0100   -0.0001
   860        0.7341             nan     0.0100   -0.0001
   880        0.7316             nan     0.0100   -0.0001
   900        0.7296             nan     0.0100   -0.0001
   920        0.7269             nan     0.0100   -0.0001
   940        0.7248             nan     0.0100   -0.0001
   960        0.7228             nan     0.0100   -0.0001
   980        0.7205             nan     0.0100   -0.0001
  1000        0.7188             nan     0.0100    0.0000
  1020        0.7164             nan     0.0100   -0.0001
  1040        0.7150             nan     0.0100   -0.0001
  1060        0.7128             nan     0.0100    0.0000
  1080        0.7108             nan     0.0100   -0.0000
  1100        0.7090             nan     0.0100   -0.0001

- Fold10.Rep3: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3241             nan     0.0100    0.0039
     2        1.3155             nan     0.0100    0.0038
     3        1.3080             nan     0.0100    0.0036
     4        1.3004             nan     0.0100    0.0035
     5        1.2932             nan     0.0100    0.0035
     6        1.2857             nan     0.0100    0.0035
     7        1.2787             nan     0.0100    0.0034
     8        1.2715             nan     0.0100    0.0034
     9        1.2642             nan     0.0100    0.0034
    10        1.2573             nan     0.0100    0.0032
    20        1.1971             nan     0.0100    0.0026
    40        1.1035             nan     0.0100    0.0017
    60        1.0340             nan     0.0100    0.0014
    80        0.9833             nan     0.0100    0.0011
   100        0.9446             nan     0.0100    0.0007
   120        0.9148             nan     0.0100    0.0005
   140        0.8919             nan     0.0100    0.0003
   160        0.8720             nan     0.0100    0.0003
   180        0.8556             nan     0.0100    0.0003
   200        0.8410             nan     0.0100    0.0002
   220        0.8292             nan     0.0100    0.0002
   240        0.8178             nan     0.0100    0.0001
   260        0.8081             nan     0.0100    0.0000
   280        0.7990             nan     0.0100    0.0002
   300        0.7903             nan     0.0100    0.0001
   320        0.7835             nan     0.0100   -0.0001
   340        0.7766             nan     0.0100   -0.0000
   360        0.7708             nan     0.0100   -0.0000
   380        0.7656             nan     0.0100   -0.0001
   400        0.7598             nan     0.0100   -0.0001
   420        0.7551             nan     0.0100    0.0000
   440        0.7499             nan     0.0100   -0.0000
   460        0.7446             nan     0.0100   -0.0001
   480        0.7406             nan     0.0100   -0.0002
   500        0.7362             nan     0.0100   -0.0000
   520        0.7323             nan     0.0100   -0.0001
   540        0.7280             nan     0.0100   -0.0001
   560        0.7234             nan     0.0100   -0.0001
   580        0.7194             nan     0.0100    0.0000
   600        0.7158             nan     0.0100   -0.0001
   620        0.7123             nan     0.0100   -0.0002
   640        0.7090             nan     0.0100   -0.0000
   660        0.7060             nan     0.0100   -0.0001
   680        0.7025             nan     0.0100   -0.0001
   700        0.6991             nan     0.0100   -0.0001
   720        0.6963             nan     0.0100   -0.0001
   740        0.6930             nan     0.0100   -0.0000
   760        0.6900             nan     0.0100   -0.0001
   780        0.6869             nan     0.0100   -0.0001
   800        0.6840             nan     0.0100   -0.0002
   820        0.6808             nan     0.0100   -0.0001
   840        0.6782             nan     0.0100   -0.0001
   860        0.6755             nan     0.0100   -0.0002
   880        0.6725             nan     0.0100   -0.0001
   900        0.6691             nan     0.0100   -0.0001
   920        0.6668             nan     0.0100   -0.0001
   940        0.6644             nan     0.0100   -0.0001
   960        0.6618             nan     0.0100   -0.0002
   980        0.6590             nan     0.0100   -0.0002
  1000        0.6568             nan     0.0100   -0.0000
  1020        0.6544             nan     0.0100   -0.0000
  1040        0.6517             nan     0.0100   -0.0000
  1060        0.6491             nan     0.0100   -0.0002
  1080        0.6469             nan     0.0100   -0.0002
  1100        0.6441             nan     0.0100   -0.0001

- Fold10.Rep3: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2755             nan     0.1000    0.0280
     2        1.2291             nan     0.1000    0.0227
     3        1.1916             nan     0.1000    0.0182
     4        1.1601             nan     0.1000    0.0147
     5        1.1321             nan     0.1000    0.0113
     6        1.1083             nan     0.1000    0.0100
     7        1.0897             nan     0.1000    0.0053
     8        1.0741             nan     0.1000    0.0080
     9        1.0593             nan     0.1000    0.0065
    10        1.0433             nan     0.1000    0.0051
    20        0.9604             nan     0.1000    0.0005
    40        0.8854             nan     0.1000    0.0000
    60        0.8505             nan     0.1000   -0.0001
    80        0.8274             nan     0.1000   -0.0005
   100        0.8084             nan     0.1000   -0.0003
   120        0.7944             nan     0.1000   -0.0005
   140        0.7855             nan     0.1000   -0.0005
   160        0.7779             nan     0.1000   -0.0005
   180        0.7727             nan     0.1000   -0.0009
   200        0.7653             nan     0.1000   -0.0001
   220        0.7598             nan     0.1000   -0.0008
   240        0.7524             nan     0.1000   -0.0004
   260        0.7472             nan     0.1000   -0.0001
   280        0.7413             nan     0.1000   -0.0008
   300        0.7367             nan     0.1000   -0.0006
   320        0.7337             nan     0.1000   -0.0005
   340        0.7307             nan     0.1000   -0.0010
   360        0.7264             nan     0.1000   -0.0004
   380        0.7233             nan     0.1000   -0.0000
   400        0.7193             nan     0.1000   -0.0007
   420        0.7169             nan     0.1000   -0.0011
   440        0.7144             nan     0.1000   -0.0001
   460        0.7117             nan     0.1000   -0.0010
   480        0.7100             nan     0.1000   -0.0004
   500        0.7064             nan     0.1000   -0.0016
   520        0.7049             nan     0.1000   -0.0007
   540        0.7024             nan     0.1000   -0.0005
   560        0.6990             nan     0.1000   -0.0006
   580        0.6969             nan     0.1000   -0.0005
   600        0.6936             nan     0.1000   -0.0003
   620        0.6923             nan     0.1000   -0.0004
   640        0.6916             nan     0.1000   -0.0009
   660        0.6902             nan     0.1000   -0.0019
   680        0.6884             nan     0.1000   -0.0011
   700        0.6868             nan     0.1000   -0.0012
   720        0.6827             nan     0.1000   -0.0014
   740        0.6809             nan     0.1000   -0.0014
   760        0.6797             nan     0.1000   -0.0014
   780        0.6779             nan     0.1000   -0.0004
   800        0.6752             nan     0.1000   -0.0006
   820        0.6737             nan     0.1000   -0.0008
   840        0.6716             nan     0.1000   -0.0004
   860        0.6686             nan     0.1000   -0.0006
   880        0.6664             nan     0.1000   -0.0006
   900        0.6647             nan     0.1000   -0.0006
   920        0.6636             nan     0.1000   -0.0008
   940        0.6615             nan     0.1000   -0.0010
   960        0.6609             nan     0.1000   -0.0009
   980        0.6597             nan     0.1000   -0.0007
  1000        0.6581             nan     0.1000   -0.0003
  1020        0.6578             nan     0.1000   -0.0011
  1040        0.6559             nan     0.1000   -0.0006
  1060        0.6543             nan     0.1000   -0.0005
  1080        0.6531             nan     0.1000   -0.0012
  1100        0.6517             nan     0.1000   -0.0007

- Fold10.Rep3: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2652             nan     0.1000    0.0336
     2        1.2109             nan     0.1000    0.0274
     3        1.1668             nan     0.1000    0.0239
     4        1.1284             nan     0.1000    0.0201
     5        1.0954             nan     0.1000    0.0158
     6        1.0619             nan     0.1000    0.0146
     7        1.0367             nan     0.1000    0.0101
     8        1.0129             nan     0.1000    0.0099
     9        0.9944             nan     0.1000    0.0095
    10        0.9775             nan     0.1000    0.0076
    20        0.8802             nan     0.1000    0.0010
    40        0.8117             nan     0.1000    0.0002
    60        0.7754             nan     0.1000   -0.0013
    80        0.7485             nan     0.1000   -0.0009
   100        0.7297             nan     0.1000   -0.0003
   120        0.7094             nan     0.1000   -0.0017
   140        0.6955             nan     0.1000   -0.0008
   160        0.6816             nan     0.1000   -0.0004
   180        0.6676             nan     0.1000   -0.0014
   200        0.6519             nan     0.1000   -0.0014
   220        0.6384             nan     0.1000   -0.0000
   240        0.6252             nan     0.1000    0.0006
   260        0.6123             nan     0.1000   -0.0008
   280        0.6040             nan     0.1000   -0.0005
   300        0.5962             nan     0.1000   -0.0014
   320        0.5884             nan     0.1000   -0.0011
   340        0.5802             nan     0.1000   -0.0015
   360        0.5731             nan     0.1000   -0.0010
   380        0.5667             nan     0.1000   -0.0012
   400        0.5592             nan     0.1000   -0.0012
   420        0.5538             nan     0.1000   -0.0013
   440        0.5454             nan     0.1000   -0.0012
   460        0.5377             nan     0.1000   -0.0015
   480        0.5307             nan     0.1000   -0.0005
   500        0.5226             nan     0.1000   -0.0010
   520        0.5156             nan     0.1000   -0.0006
   540        0.5110             nan     0.1000   -0.0018
   560        0.5050             nan     0.1000   -0.0010
   580        0.4980             nan     0.1000   -0.0006
   600        0.4927             nan     0.1000   -0.0012
   620        0.4882             nan     0.1000   -0.0007
   640        0.4821             nan     0.1000   -0.0008
   660        0.4770             nan     0.1000   -0.0011
   680        0.4724             nan     0.1000   -0.0005
   700        0.4676             nan     0.1000   -0.0007
   720        0.4643             nan     0.1000   -0.0007
   740        0.4599             nan     0.1000   -0.0015
   760        0.4575             nan     0.1000   -0.0005
   780        0.4530             nan     0.1000   -0.0006
   800        0.4483             nan     0.1000   -0.0003
   820        0.4428             nan     0.1000   -0.0008
   840        0.4379             nan     0.1000   -0.0008
   860        0.4348             nan     0.1000   -0.0012
   880        0.4322             nan     0.1000   -0.0008
   900        0.4272             nan     0.1000   -0.0005
   920        0.4230             nan     0.1000   -0.0007
   940        0.4205             nan     0.1000   -0.0008
   960        0.4161             nan     0.1000   -0.0001
   980        0.4129             nan     0.1000   -0.0005
  1000        0.4084             nan     0.1000   -0.0005
  1020        0.4059             nan     0.1000   -0.0007
  1040        0.4041             nan     0.1000   -0.0004
  1060        0.4002             nan     0.1000   -0.0005
  1080        0.3966             nan     0.1000   -0.0005
  1100        0.3937             nan     0.1000   -0.0011

- Fold10.Rep3: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2569             nan     0.1000    0.0366
     2        1.1927             nan     0.1000    0.0313
     3        1.1385             nan     0.1000    0.0254
     4        1.0968             nan     0.1000    0.0203
     5        1.0619             nan     0.1000    0.0156
     6        1.0267             nan     0.1000    0.0154
     7        0.9989             nan     0.1000    0.0117
     8        0.9772             nan     0.1000    0.0111
     9        0.9571             nan     0.1000    0.0088
    10        0.9351             nan     0.1000    0.0076
    20        0.8378             nan     0.1000    0.0021
    40        0.7580             nan     0.1000    0.0004
    60        0.7138             nan     0.1000   -0.0004
    80        0.6802             nan     0.1000   -0.0008
   100        0.6572             nan     0.1000   -0.0006
   120        0.6293             nan     0.1000   -0.0008
   140        0.6095             nan     0.1000   -0.0012
   160        0.5883             nan     0.1000   -0.0007
   180        0.5696             nan     0.1000   -0.0014
   200        0.5580             nan     0.1000   -0.0009
   220        0.5428             nan     0.1000   -0.0009
   240        0.5255             nan     0.1000   -0.0015
   260        0.5138             nan     0.1000   -0.0017
   280        0.5015             nan     0.1000   -0.0005
   300        0.4919             nan     0.1000   -0.0003
   320        0.4819             nan     0.1000   -0.0011
   340        0.4706             nan     0.1000   -0.0015
   360        0.4622             nan     0.1000   -0.0012
   380        0.4513             nan     0.1000   -0.0017
   400        0.4433             nan     0.1000   -0.0012
   420        0.4344             nan     0.1000   -0.0007
   440        0.4291             nan     0.1000   -0.0014
   460        0.4221             nan     0.1000   -0.0016
   480        0.4125             nan     0.1000   -0.0012
   500        0.4053             nan     0.1000   -0.0009
   520        0.3970             nan     0.1000   -0.0016
   540        0.3897             nan     0.1000   -0.0007
   560        0.3844             nan     0.1000   -0.0016
   580        0.3792             nan     0.1000   -0.0014
   600        0.3722             nan     0.1000   -0.0013
   620        0.3656             nan     0.1000   -0.0008
   640        0.3590             nan     0.1000   -0.0008
   660        0.3534             nan     0.1000   -0.0014
   680        0.3478             nan     0.1000   -0.0002
   700        0.3410             nan     0.1000   -0.0004
   720        0.3372             nan     0.1000   -0.0010
   740        0.3328             nan     0.1000   -0.0017
   760        0.3273             nan     0.1000   -0.0008
   780        0.3235             nan     0.1000   -0.0005
   800        0.3177             nan     0.1000   -0.0011
   820        0.3137             nan     0.1000   -0.0010
   840        0.3093             nan     0.1000   -0.0014
   860        0.3045             nan     0.1000   -0.0012
   880        0.2994             nan     0.1000   -0.0008
   900        0.2938             nan     0.1000   -0.0005
   920        0.2912             nan     0.1000   -0.0009
   940        0.2862             nan     0.1000   -0.0005
   960        0.2825             nan     0.1000   -0.0009
   980        0.2792             nan     0.1000   -0.0014
  1000        0.2747             nan     0.1000   -0.0008
  1020        0.2707             nan     0.1000   -0.0007
  1040        0.2676             nan     0.1000   -0.0009
  1060        0.2640             nan     0.1000   -0.0009
  1080        0.2605             nan     0.1000   -0.0007
  1100        0.2572             nan     0.1000   -0.0007

- Fold10.Rep3: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3258             nan     0.0100    0.0028
     2        1.3199             nan     0.0100    0.0027
     3        1.3150             nan     0.0100    0.0027
     4        1.3097             nan     0.0100    0.0026
     5        1.3045             nan     0.0100    0.0025
     6        1.2993             nan     0.0100    0.0026
     7        1.2947             nan     0.0100    0.0025
     8        1.2897             nan     0.0100    0.0024
     9        1.2844             nan     0.0100    0.0023
    10        1.2798             nan     0.0100    0.0024
    20        1.2359             nan     0.0100    0.0019
    40        1.1688             nan     0.0100    0.0013
    60        1.1224             nan     0.0100    0.0008
    80        1.0865             nan     0.0100    0.0007
   100        1.0575             nan     0.0100    0.0006
   120        1.0340             nan     0.0100    0.0005
   140        1.0137             nan     0.0100    0.0004
   160        0.9966             nan     0.0100    0.0002
   180        0.9820             nan     0.0100    0.0003
   200        0.9679             nan     0.0100    0.0003
   220        0.9550             nan     0.0100    0.0002
   240        0.9442             nan     0.0100    0.0002
   260        0.9348             nan     0.0100    0.0002
   280        0.9260             nan     0.0100    0.0002
   300        0.9177             nan     0.0100   -0.0000
   320        0.9108             nan     0.0100    0.0001
   340        0.9042             nan     0.0100    0.0001
   360        0.8976             nan     0.0100    0.0000
   380        0.8919             nan     0.0100    0.0000
   400        0.8870             nan     0.0100   -0.0000
   420        0.8822             nan     0.0100    0.0000
   440        0.8776             nan     0.0100    0.0000
   460        0.8731             nan     0.0100    0.0001
   480        0.8689             nan     0.0100    0.0001
   500        0.8649             nan     0.0100   -0.0000
   520        0.8614             nan     0.0100    0.0000
   540        0.8577             nan     0.0100    0.0001
   560        0.8541             nan     0.0100   -0.0000
   580        0.8507             nan     0.0100    0.0000
   600        0.8474             nan     0.0100    0.0001
   620        0.8445             nan     0.0100    0.0000
   640        0.8415             nan     0.0100   -0.0001
   660        0.8386             nan     0.0100   -0.0000
   680        0.8359             nan     0.0100    0.0001
   700        0.8336             nan     0.0100    0.0000
   720        0.8314             nan     0.0100   -0.0000
   740        0.8291             nan     0.0100   -0.0001
   760        0.8267             nan     0.0100    0.0000
   780        0.8243             nan     0.0100    0.0000
   800        0.8221             nan     0.0100   -0.0000
   820        0.8202             nan     0.0100   -0.0000
   840        0.8182             nan     0.0100   -0.0000
   860        0.8164             nan     0.0100   -0.0001
   880        0.8146             nan     0.0100   -0.0000
   900        0.8129             nan     0.0100   -0.0001
   920        0.8110             nan     0.0100   -0.0000
   940        0.8095             nan     0.0100    0.0000
   960        0.8081             nan     0.0100   -0.0001
   980        0.8066             nan     0.0100   -0.0001
  1000        0.8052             nan     0.0100   -0.0001
  1020        0.8038             nan     0.0100   -0.0000
  1040        0.8026             nan     0.0100   -0.0001
  1060        0.8010             nan     0.0100   -0.0000
  1080        0.7996             nan     0.0100   -0.0000
  1100        0.7982             nan     0.0100   -0.0001

- Fold01.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3242             nan     0.0100    0.0033
     2        1.3173             nan     0.0100    0.0037
     3        1.3105             nan     0.0100    0.0032
     4        1.3037             nan     0.0100    0.0032
     5        1.2968             nan     0.0100    0.0033
     6        1.2897             nan     0.0100    0.0032
     7        1.2830             nan     0.0100    0.0033
     8        1.2766             nan     0.0100    0.0032
     9        1.2701             nan     0.0100    0.0029
    10        1.2639             nan     0.0100    0.0028
    20        1.2099             nan     0.0100    0.0025
    40        1.1250             nan     0.0100    0.0018
    60        1.0610             nan     0.0100    0.0013
    80        1.0136             nan     0.0100    0.0010
   100        0.9776             nan     0.0100    0.0006
   120        0.9481             nan     0.0100    0.0005
   140        0.9266             nan     0.0100    0.0003
   160        0.9080             nan     0.0100    0.0003
   180        0.8928             nan     0.0100    0.0001
   200        0.8795             nan     0.0100    0.0001
   220        0.8679             nan     0.0100    0.0001
   240        0.8569             nan     0.0100    0.0001
   260        0.8477             nan     0.0100    0.0001
   280        0.8390             nan     0.0100    0.0002
   300        0.8312             nan     0.0100   -0.0000
   320        0.8245             nan     0.0100    0.0000
   340        0.8181             nan     0.0100   -0.0000
   360        0.8123             nan     0.0100   -0.0000
   380        0.8069             nan     0.0100    0.0000
   400        0.8020             nan     0.0100    0.0001
   420        0.7977             nan     0.0100   -0.0001
   440        0.7934             nan     0.0100   -0.0000
   460        0.7886             nan     0.0100   -0.0000
   480        0.7850             nan     0.0100   -0.0000
   500        0.7811             nan     0.0100   -0.0000
   520        0.7775             nan     0.0100   -0.0000
   540        0.7741             nan     0.0100   -0.0000
   560        0.7709             nan     0.0100   -0.0000
   580        0.7674             nan     0.0100   -0.0002
   600        0.7646             nan     0.0100   -0.0000
   620        0.7619             nan     0.0100   -0.0001
   640        0.7592             nan     0.0100   -0.0001
   660        0.7560             nan     0.0100   -0.0000
   680        0.7537             nan     0.0100   -0.0000
   700        0.7510             nan     0.0100   -0.0001
   720        0.7483             nan     0.0100   -0.0001
   740        0.7456             nan     0.0100   -0.0002
   760        0.7430             nan     0.0100   -0.0001
   780        0.7405             nan     0.0100   -0.0001
   800        0.7379             nan     0.0100   -0.0002
   820        0.7360             nan     0.0100   -0.0000
   840        0.7339             nan     0.0100   -0.0001
   860        0.7322             nan     0.0100   -0.0001
   880        0.7301             nan     0.0100   -0.0001
   900        0.7280             nan     0.0100   -0.0001
   920        0.7263             nan     0.0100   -0.0000
   940        0.7246             nan     0.0100   -0.0001
   960        0.7226             nan     0.0100   -0.0001
   980        0.7206             nan     0.0100   -0.0001
  1000        0.7188             nan     0.0100   -0.0001
  1020        0.7171             nan     0.0100   -0.0001
  1040        0.7152             nan     0.0100   -0.0002
  1060        0.7136             nan     0.0100   -0.0001
  1080        0.7118             nan     0.0100   -0.0000
  1100        0.7102             nan     0.0100   -0.0001

- Fold01.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3230             nan     0.0100    0.0038
     2        1.3155             nan     0.0100    0.0035
     3        1.3078             nan     0.0100    0.0038
     4        1.2999             nan     0.0100    0.0037
     5        1.2927             nan     0.0100    0.0036
     6        1.2861             nan     0.0100    0.0030
     7        1.2789             nan     0.0100    0.0032
     8        1.2714             nan     0.0100    0.0034
     9        1.2648             nan     0.0100    0.0030
    10        1.2581             nan     0.0100    0.0032
    20        1.1971             nan     0.0100    0.0027
    40        1.1041             nan     0.0100    0.0019
    60        1.0353             nan     0.0100    0.0013
    80        0.9833             nan     0.0100    0.0008
   100        0.9435             nan     0.0100    0.0005
   120        0.9147             nan     0.0100    0.0005
   140        0.8912             nan     0.0100    0.0005
   160        0.8722             nan     0.0100    0.0002
   180        0.8552             nan     0.0100    0.0003
   200        0.8413             nan     0.0100    0.0001
   220        0.8294             nan     0.0100    0.0000
   240        0.8182             nan     0.0100    0.0002
   260        0.8079             nan     0.0100   -0.0000
   280        0.7994             nan     0.0100   -0.0000
   300        0.7919             nan     0.0100    0.0001
   320        0.7851             nan     0.0100    0.0001
   340        0.7785             nan     0.0100    0.0000
   360        0.7727             nan     0.0100   -0.0002
   380        0.7667             nan     0.0100   -0.0000
   400        0.7610             nan     0.0100    0.0001
   420        0.7559             nan     0.0100    0.0000
   440        0.7507             nan     0.0100    0.0000
   460        0.7462             nan     0.0100   -0.0000
   480        0.7420             nan     0.0100   -0.0000
   500        0.7384             nan     0.0100   -0.0002
   520        0.7346             nan     0.0100   -0.0001
   540        0.7307             nan     0.0100   -0.0001
   560        0.7273             nan     0.0100   -0.0001
   580        0.7228             nan     0.0100   -0.0002
   600        0.7194             nan     0.0100   -0.0000
   620        0.7162             nan     0.0100   -0.0001
   640        0.7130             nan     0.0100   -0.0002
   660        0.7100             nan     0.0100   -0.0001
   680        0.7068             nan     0.0100   -0.0000
   700        0.7038             nan     0.0100   -0.0000
   720        0.7005             nan     0.0100   -0.0001
   740        0.6975             nan     0.0100   -0.0001
   760        0.6944             nan     0.0100   -0.0001
   780        0.6912             nan     0.0100   -0.0000
   800        0.6886             nan     0.0100   -0.0001
   820        0.6858             nan     0.0100   -0.0001
   840        0.6828             nan     0.0100   -0.0001
   860        0.6804             nan     0.0100   -0.0001
   880        0.6778             nan     0.0100   -0.0001
   900        0.6752             nan     0.0100   -0.0001
   920        0.6722             nan     0.0100   -0.0001
   940        0.6699             nan     0.0100   -0.0001
   960        0.6673             nan     0.0100   -0.0001
   980        0.6653             nan     0.0100   -0.0001
  1000        0.6625             nan     0.0100   -0.0001
  1020        0.6596             nan     0.0100   -0.0000
  1040        0.6578             nan     0.0100   -0.0002
  1060        0.6557             nan     0.0100   -0.0002
  1080        0.6534             nan     0.0100   -0.0002
  1100        0.6512             nan     0.0100   -0.0001

- Fold01.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2761             nan     0.1000    0.0264
     2        1.2333             nan     0.1000    0.0224
     3        1.1978             nan     0.1000    0.0183
     4        1.1618             nan     0.1000    0.0130
     5        1.1361             nan     0.1000    0.0117
     6        1.1191             nan     0.1000    0.0074
     7        1.0972             nan     0.1000    0.0096
     8        1.0806             nan     0.1000    0.0080
     9        1.0670             nan     0.1000    0.0064
    10        1.0518             nan     0.1000    0.0062
    20        0.9638             nan     0.1000    0.0031
    40        0.8833             nan     0.1000    0.0010
    60        0.8448             nan     0.1000    0.0001
    80        0.8196             nan     0.1000   -0.0001
   100        0.8041             nan     0.1000   -0.0004
   120        0.7921             nan     0.1000   -0.0007
   140        0.7830             nan     0.1000   -0.0005
   160        0.7731             nan     0.1000   -0.0002
   180        0.7671             nan     0.1000   -0.0006
   200        0.7613             nan     0.1000   -0.0007
   220        0.7556             nan     0.1000   -0.0006
   240        0.7511             nan     0.1000   -0.0006
   260        0.7456             nan     0.1000   -0.0008
   280        0.7435             nan     0.1000   -0.0020
   300        0.7416             nan     0.1000   -0.0006
   320        0.7363             nan     0.1000   -0.0000
   340        0.7325             nan     0.1000   -0.0011
   360        0.7305             nan     0.1000   -0.0004
   380        0.7279             nan     0.1000   -0.0012
   400        0.7254             nan     0.1000   -0.0002
   420        0.7219             nan     0.1000   -0.0010
   440        0.7173             nan     0.1000   -0.0004
   460        0.7148             nan     0.1000   -0.0003
   480        0.7121             nan     0.1000   -0.0007
   500        0.7101             nan     0.1000   -0.0008
   520        0.7089             nan     0.1000   -0.0005
   540        0.7062             nan     0.1000   -0.0003
   560        0.7042             nan     0.1000   -0.0010
   580        0.7038             nan     0.1000   -0.0010
   600        0.7025             nan     0.1000   -0.0007
   620        0.7003             nan     0.1000   -0.0008
   640        0.6995             nan     0.1000   -0.0008
   660        0.6962             nan     0.1000   -0.0005
   680        0.6935             nan     0.1000   -0.0005
   700        0.6917             nan     0.1000   -0.0004
   720        0.6891             nan     0.1000   -0.0007
   740        0.6878             nan     0.1000   -0.0010
   760        0.6871             nan     0.1000   -0.0007
   780        0.6848             nan     0.1000   -0.0009
   800        0.6832             nan     0.1000   -0.0009
   820        0.6818             nan     0.1000   -0.0006
   840        0.6798             nan     0.1000   -0.0010
   860        0.6786             nan     0.1000   -0.0013
   880        0.6772             nan     0.1000   -0.0006
   900        0.6745             nan     0.1000   -0.0003
   920        0.6724             nan     0.1000   -0.0005
   940        0.6715             nan     0.1000   -0.0010
   960        0.6700             nan     0.1000   -0.0005
   980        0.6691             nan     0.1000   -0.0014
  1000        0.6680             nan     0.1000   -0.0010
  1020        0.6676             nan     0.1000   -0.0010
  1040        0.6666             nan     0.1000   -0.0007
  1060        0.6645             nan     0.1000   -0.0003
  1080        0.6636             nan     0.1000   -0.0009
  1100        0.6631             nan     0.1000   -0.0006

- Fold01.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2623             nan     0.1000    0.0361
     2        1.2045             nan     0.1000    0.0272
     3        1.1608             nan     0.1000    0.0219
     4        1.1168             nan     0.1000    0.0195
     5        1.0881             nan     0.1000    0.0142
     6        1.0572             nan     0.1000    0.0153
     7        1.0321             nan     0.1000    0.0113
     8        1.0082             nan     0.1000    0.0087
     9        0.9859             nan     0.1000    0.0089
    10        0.9682             nan     0.1000    0.0064
    20        0.8684             nan     0.1000    0.0007
    40        0.8036             nan     0.1000   -0.0011
    60        0.7650             nan     0.1000   -0.0001
    80        0.7439             nan     0.1000   -0.0013
   100        0.7205             nan     0.1000   -0.0007
   120        0.7004             nan     0.1000   -0.0005
   140        0.6865             nan     0.1000   -0.0006
   160        0.6727             nan     0.1000   -0.0003
   180        0.6603             nan     0.1000    0.0004
   200        0.6498             nan     0.1000   -0.0006
   220        0.6400             nan     0.1000   -0.0002
   240        0.6295             nan     0.1000   -0.0009
   260        0.6215             nan     0.1000   -0.0006
   280        0.6142             nan     0.1000   -0.0005
   300        0.6038             nan     0.1000   -0.0002
   320        0.5975             nan     0.1000   -0.0014
   340        0.5894             nan     0.1000   -0.0009
   360        0.5838             nan     0.1000   -0.0014
   380        0.5793             nan     0.1000   -0.0010
   400        0.5700             nan     0.1000   -0.0010
   420        0.5630             nan     0.1000   -0.0009
   440        0.5557             nan     0.1000   -0.0010
   460        0.5500             nan     0.1000   -0.0008
   480        0.5440             nan     0.1000   -0.0013
   500        0.5369             nan     0.1000   -0.0006
   520        0.5329             nan     0.1000   -0.0005
   540        0.5299             nan     0.1000   -0.0013
   560        0.5239             nan     0.1000   -0.0005
   580        0.5182             nan     0.1000   -0.0009
   600        0.5119             nan     0.1000   -0.0009
   620        0.5055             nan     0.1000   -0.0009
   640        0.4996             nan     0.1000   -0.0016
   660        0.4944             nan     0.1000   -0.0011
   680        0.4899             nan     0.1000   -0.0013
   700        0.4863             nan     0.1000   -0.0007
   720        0.4806             nan     0.1000   -0.0005
   740        0.4771             nan     0.1000   -0.0009
   760        0.4719             nan     0.1000   -0.0009
   780        0.4684             nan     0.1000   -0.0012
   800        0.4643             nan     0.1000   -0.0007
   820        0.4592             nan     0.1000   -0.0008
   840        0.4549             nan     0.1000   -0.0006
   860        0.4510             nan     0.1000   -0.0009
   880        0.4460             nan     0.1000   -0.0007
   900        0.4426             nan     0.1000   -0.0008
   920        0.4376             nan     0.1000   -0.0008
   940        0.4340             nan     0.1000   -0.0003
   960        0.4311             nan     0.1000   -0.0009
   980        0.4271             nan     0.1000   -0.0008
  1000        0.4240             nan     0.1000   -0.0010
  1020        0.4224             nan     0.1000   -0.0012
  1040        0.4190             nan     0.1000   -0.0009
  1060        0.4161             nan     0.1000   -0.0007
  1080        0.4129             nan     0.1000   -0.0010
  1100        0.4095             nan     0.1000   -0.0003

- Fold01.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2529             nan     0.1000    0.0365
     2        1.1946             nan     0.1000    0.0267
     3        1.1457             nan     0.1000    0.0254
     4        1.1055             nan     0.1000    0.0175
     5        1.0678             nan     0.1000    0.0170
     6        1.0323             nan     0.1000    0.0164
     7        1.0029             nan     0.1000    0.0132
     8        0.9792             nan     0.1000    0.0098
     9        0.9578             nan     0.1000    0.0089
    10        0.9411             nan     0.1000    0.0059
    20        0.8426             nan     0.1000    0.0018
    40        0.7657             nan     0.1000   -0.0003
    60        0.7248             nan     0.1000   -0.0021
    80        0.6936             nan     0.1000   -0.0012
   100        0.6668             nan     0.1000   -0.0005
   120        0.6433             nan     0.1000   -0.0003
   140        0.6166             nan     0.1000   -0.0013
   160        0.5985             nan     0.1000   -0.0028
   180        0.5799             nan     0.1000   -0.0009
   200        0.5621             nan     0.1000   -0.0004
   220        0.5464             nan     0.1000   -0.0019
   240        0.5332             nan     0.1000   -0.0009
   260        0.5202             nan     0.1000   -0.0025
   280        0.5119             nan     0.1000   -0.0014
   300        0.4979             nan     0.1000   -0.0006
   320        0.4899             nan     0.1000   -0.0016
   340        0.4804             nan     0.1000   -0.0006
   360        0.4704             nan     0.1000   -0.0018
   380        0.4635             nan     0.1000   -0.0006
   400        0.4545             nan     0.1000   -0.0008
   420        0.4457             nan     0.1000   -0.0008
   440        0.4378             nan     0.1000   -0.0023
   460        0.4289             nan     0.1000   -0.0013
   480        0.4177             nan     0.1000   -0.0012
   500        0.4100             nan     0.1000   -0.0014
   520        0.4042             nan     0.1000   -0.0010
   540        0.3973             nan     0.1000   -0.0010
   560        0.3919             nan     0.1000   -0.0011
   580        0.3850             nan     0.1000   -0.0008
   600        0.3780             nan     0.1000   -0.0009
   620        0.3731             nan     0.1000   -0.0013
   640        0.3665             nan     0.1000   -0.0014
   660        0.3579             nan     0.1000   -0.0004
   680        0.3536             nan     0.1000   -0.0011
   700        0.3483             nan     0.1000   -0.0007
   720        0.3420             nan     0.1000   -0.0011
   740        0.3364             nan     0.1000   -0.0004
   760        0.3307             nan     0.1000   -0.0007
   780        0.3269             nan     0.1000   -0.0007
   800        0.3228             nan     0.1000   -0.0006
   820        0.3184             nan     0.1000   -0.0009
   840        0.3129             nan     0.1000   -0.0010
   860        0.3094             nan     0.1000   -0.0008
   880        0.3060             nan     0.1000   -0.0009
   900        0.3005             nan     0.1000   -0.0011
   920        0.2948             nan     0.1000   -0.0007
   940        0.2916             nan     0.1000   -0.0008
   960        0.2880             nan     0.1000   -0.0003
   980        0.2856             nan     0.1000   -0.0004
  1000        0.2829             nan     0.1000   -0.0012
  1020        0.2797             nan     0.1000   -0.0005
  1040        0.2759             nan     0.1000   -0.0010
  1060        0.2725             nan     0.1000   -0.0009
  1080        0.2691             nan     0.1000   -0.0010
  1100        0.2656             nan     0.1000   -0.0003

- Fold01.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3266             nan     0.0100    0.0028
     2        1.3213             nan     0.0100    0.0027
     3        1.3154             nan     0.0100    0.0028
     4        1.3102             nan     0.0100    0.0025
     5        1.3047             nan     0.0100    0.0027
     6        1.3004             nan     0.0100    0.0025
     7        1.2947             nan     0.0100    0.0026
     8        1.2899             nan     0.0100    0.0025
     9        1.2848             nan     0.0100    0.0025
    10        1.2801             nan     0.0100    0.0022
    20        1.2344             nan     0.0100    0.0019
    40        1.1660             nan     0.0100    0.0014
    60        1.1209             nan     0.0100    0.0010
    80        1.0862             nan     0.0100    0.0008
   100        1.0577             nan     0.0100    0.0006
   120        1.0338             nan     0.0100    0.0004
   140        1.0133             nan     0.0100    0.0004
   160        0.9954             nan     0.0100    0.0003
   180        0.9808             nan     0.0100    0.0003
   200        0.9679             nan     0.0100    0.0003
   220        0.9564             nan     0.0100    0.0002
   240        0.9459             nan     0.0100    0.0003
   260        0.9363             nan     0.0100    0.0002
   280        0.9277             nan     0.0100    0.0001
   300        0.9199             nan     0.0100    0.0001
   320        0.9125             nan     0.0100    0.0001
   340        0.9057             nan     0.0100    0.0001
   360        0.8994             nan     0.0100    0.0001
   380        0.8935             nan     0.0100    0.0000
   400        0.8884             nan     0.0100    0.0001
   420        0.8836             nan     0.0100   -0.0000
   440        0.8791             nan     0.0100    0.0000
   460        0.8747             nan     0.0100    0.0000
   480        0.8704             nan     0.0100    0.0000
   500        0.8664             nan     0.0100    0.0001
   520        0.8629             nan     0.0100    0.0000
   540        0.8593             nan     0.0100   -0.0000
   560        0.8562             nan     0.0100    0.0000
   580        0.8532             nan     0.0100    0.0000
   600        0.8501             nan     0.0100    0.0001
   620        0.8471             nan     0.0100    0.0000
   640        0.8442             nan     0.0100   -0.0000
   660        0.8418             nan     0.0100   -0.0001
   680        0.8391             nan     0.0100   -0.0001
   700        0.8365             nan     0.0100    0.0000
   720        0.8341             nan     0.0100   -0.0001
   740        0.8319             nan     0.0100   -0.0001
   760        0.8296             nan     0.0100    0.0000
   780        0.8274             nan     0.0100    0.0000
   800        0.8255             nan     0.0100   -0.0000
   820        0.8234             nan     0.0100   -0.0000
   840        0.8216             nan     0.0100    0.0000
   860        0.8199             nan     0.0100   -0.0001
   880        0.8178             nan     0.0100    0.0000
   900        0.8163             nan     0.0100   -0.0001
   920        0.8148             nan     0.0100   -0.0000
   940        0.8133             nan     0.0100   -0.0000
   960        0.8118             nan     0.0100   -0.0001
   980        0.8104             nan     0.0100   -0.0000
  1000        0.8089             nan     0.0100   -0.0000
  1020        0.8075             nan     0.0100   -0.0000
  1040        0.8061             nan     0.0100   -0.0000
  1060        0.8047             nan     0.0100   -0.0000
  1080        0.8032             nan     0.0100   -0.0000
  1100        0.8021             nan     0.0100   -0.0001

- Fold02.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3249             nan     0.0100    0.0033
     2        1.3176             nan     0.0100    0.0034
     3        1.3106             nan     0.0100    0.0033
     4        1.3036             nan     0.0100    0.0034
     5        1.2968             nan     0.0100    0.0033
     6        1.2899             nan     0.0100    0.0033
     7        1.2836             nan     0.0100    0.0031
     8        1.2770             nan     0.0100    0.0030
     9        1.2710             nan     0.0100    0.0031
    10        1.2648             nan     0.0100    0.0030
    20        1.2098             nan     0.0100    0.0023
    40        1.1244             nan     0.0100    0.0017
    60        1.0618             nan     0.0100    0.0011
    80        1.0148             nan     0.0100    0.0007
   100        0.9805             nan     0.0100    0.0007
   120        0.9528             nan     0.0100    0.0005
   140        0.9304             nan     0.0100    0.0004
   160        0.9120             nan     0.0100    0.0002
   180        0.8980             nan     0.0100    0.0000
   200        0.8844             nan     0.0100    0.0002
   220        0.8730             nan     0.0100    0.0002
   240        0.8627             nan     0.0100    0.0001
   260        0.8533             nan     0.0100    0.0001
   280        0.8444             nan     0.0100   -0.0000
   300        0.8367             nan     0.0100    0.0000
   320        0.8291             nan     0.0100    0.0001
   340        0.8229             nan     0.0100    0.0001
   360        0.8168             nan     0.0100   -0.0000
   380        0.8110             nan     0.0100    0.0002
   400        0.8058             nan     0.0100    0.0001
   420        0.8011             nan     0.0100   -0.0001
   440        0.7961             nan     0.0100    0.0000
   460        0.7918             nan     0.0100    0.0000
   480        0.7874             nan     0.0100   -0.0000
   500        0.7835             nan     0.0100   -0.0001
   520        0.7799             nan     0.0100   -0.0001
   540        0.7762             nan     0.0100   -0.0001
   560        0.7723             nan     0.0100    0.0000
   580        0.7688             nan     0.0100   -0.0000
   600        0.7656             nan     0.0100    0.0001
   620        0.7627             nan     0.0100   -0.0000
   640        0.7591             nan     0.0100    0.0001
   660        0.7562             nan     0.0100   -0.0001
   680        0.7535             nan     0.0100    0.0000
   700        0.7515             nan     0.0100   -0.0001
   720        0.7486             nan     0.0100    0.0000
   740        0.7463             nan     0.0100   -0.0001
   760        0.7439             nan     0.0100   -0.0000
   780        0.7414             nan     0.0100   -0.0001
   800        0.7390             nan     0.0100   -0.0001
   820        0.7369             nan     0.0100   -0.0002
   840        0.7343             nan     0.0100   -0.0001
   860        0.7321             nan     0.0100   -0.0001
   880        0.7301             nan     0.0100   -0.0001
   900        0.7280             nan     0.0100   -0.0001
   920        0.7257             nan     0.0100   -0.0001
   940        0.7233             nan     0.0100   -0.0001
   960        0.7212             nan     0.0100   -0.0001
   980        0.7197             nan     0.0100   -0.0001
  1000        0.7178             nan     0.0100   -0.0001
  1020        0.7158             nan     0.0100   -0.0001
  1040        0.7141             nan     0.0100    0.0000
  1060        0.7121             nan     0.0100   -0.0001
  1080        0.7101             nan     0.0100   -0.0001
  1100        0.7081             nan     0.0100   -0.0000

- Fold02.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3240             nan     0.0100    0.0037
     2        1.3161             nan     0.0100    0.0035
     3        1.3082             nan     0.0100    0.0039
     4        1.3017             nan     0.0100    0.0033
     5        1.2946             nan     0.0100    0.0037
     6        1.2871             nan     0.0100    0.0034
     7        1.2805             nan     0.0100    0.0034
     8        1.2735             nan     0.0100    0.0033
     9        1.2670             nan     0.0100    0.0030
    10        1.2599             nan     0.0100    0.0034
    20        1.1993             nan     0.0100    0.0027
    40        1.1043             nan     0.0100    0.0018
    60        1.0358             nan     0.0100    0.0015
    80        0.9864             nan     0.0100    0.0010
   100        0.9489             nan     0.0100    0.0006
   120        0.9189             nan     0.0100    0.0004
   140        0.8948             nan     0.0100    0.0003
   160        0.8750             nan     0.0100    0.0004
   180        0.8589             nan     0.0100    0.0002
   200        0.8448             nan     0.0100    0.0001
   220        0.8322             nan     0.0100    0.0001
   240        0.8213             nan     0.0100    0.0000
   260        0.8115             nan     0.0100    0.0001
   280        0.8031             nan     0.0100    0.0001
   300        0.7951             nan     0.0100   -0.0001
   320        0.7879             nan     0.0100   -0.0000
   340        0.7810             nan     0.0100   -0.0001
   360        0.7744             nan     0.0100    0.0000
   380        0.7683             nan     0.0100   -0.0001
   400        0.7630             nan     0.0100   -0.0001
   420        0.7575             nan     0.0100   -0.0000
   440        0.7522             nan     0.0100   -0.0001
   460        0.7471             nan     0.0100   -0.0002
   480        0.7431             nan     0.0100   -0.0001
   500        0.7395             nan     0.0100   -0.0001
   520        0.7348             nan     0.0100    0.0000
   540        0.7307             nan     0.0100   -0.0000
   560        0.7267             nan     0.0100   -0.0000
   580        0.7230             nan     0.0100   -0.0001
   600        0.7183             nan     0.0100   -0.0001
   620        0.7149             nan     0.0100   -0.0001
   640        0.7110             nan     0.0100   -0.0000
   660        0.7074             nan     0.0100   -0.0001
   680        0.7039             nan     0.0100   -0.0000
   700        0.7007             nan     0.0100   -0.0000
   720        0.6978             nan     0.0100   -0.0002
   740        0.6943             nan     0.0100   -0.0001
   760        0.6909             nan     0.0100   -0.0001
   780        0.6882             nan     0.0100   -0.0001
   800        0.6849             nan     0.0100   -0.0001
   820        0.6825             nan     0.0100   -0.0000
   840        0.6799             nan     0.0100   -0.0001
   860        0.6767             nan     0.0100   -0.0001
   880        0.6741             nan     0.0100   -0.0001
   900        0.6717             nan     0.0100   -0.0001
   920        0.6691             nan     0.0100   -0.0002
   940        0.6665             nan     0.0100   -0.0001
   960        0.6639             nan     0.0100   -0.0002
   980        0.6616             nan     0.0100   -0.0001
  1000        0.6586             nan     0.0100   -0.0001
  1020        0.6562             nan     0.0100   -0.0001
  1040        0.6536             nan     0.0100   -0.0002
  1060        0.6510             nan     0.0100   -0.0001
  1080        0.6486             nan     0.0100   -0.0001
  1100        0.6461             nan     0.0100   -0.0001

- Fold02.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2745             nan     0.1000    0.0280
     2        1.2283             nan     0.1000    0.0224
     3        1.1940             nan     0.1000    0.0179
     4        1.1637             nan     0.1000    0.0152
     5        1.1388             nan     0.1000    0.0123
     6        1.1156             nan     0.1000    0.0101
     7        1.0995             nan     0.1000    0.0047
     8        1.0847             nan     0.1000    0.0071
     9        1.0674             nan     0.1000    0.0080
    10        1.0545             nan     0.1000    0.0063
    20        0.9663             nan     0.1000    0.0024
    40        0.8897             nan     0.1000    0.0007
    60        0.8516             nan     0.1000    0.0005
    80        0.8268             nan     0.1000   -0.0005
   100        0.8097             nan     0.1000   -0.0000
   120        0.7956             nan     0.1000   -0.0007
   140        0.7851             nan     0.1000   -0.0002
   160        0.7758             nan     0.1000   -0.0004
   180        0.7703             nan     0.1000   -0.0008
   200        0.7639             nan     0.1000   -0.0008
   220        0.7570             nan     0.1000   -0.0018
   240        0.7521             nan     0.1000   -0.0013
   260        0.7475             nan     0.1000   -0.0011
   280        0.7426             nan     0.1000   -0.0005
   300        0.7388             nan     0.1000   -0.0004
   320        0.7344             nan     0.1000   -0.0010
   340        0.7341             nan     0.1000   -0.0010
   360        0.7298             nan     0.1000   -0.0011
   380        0.7268             nan     0.1000   -0.0006
   400        0.7235             nan     0.1000   -0.0006
   420        0.7205             nan     0.1000   -0.0013
   440        0.7170             nan     0.1000   -0.0012
   460        0.7148             nan     0.1000   -0.0005
   480        0.7122             nan     0.1000   -0.0003
   500        0.7107             nan     0.1000   -0.0009
   520        0.7093             nan     0.1000   -0.0010
   540        0.7062             nan     0.1000   -0.0001
   560        0.7032             nan     0.1000   -0.0006
   580        0.7001             nan     0.1000   -0.0007
   600        0.6979             nan     0.1000   -0.0013
   620        0.6959             nan     0.1000   -0.0009
   640        0.6925             nan     0.1000   -0.0011
   660        0.6904             nan     0.1000   -0.0013
   680        0.6877             nan     0.1000   -0.0012
   700        0.6861             nan     0.1000   -0.0009
   720        0.6848             nan     0.1000   -0.0007
   740        0.6833             nan     0.1000   -0.0007
   760        0.6818             nan     0.1000   -0.0007
   780        0.6808             nan     0.1000   -0.0008
   800        0.6804             nan     0.1000   -0.0006
   820        0.6773             nan     0.1000   -0.0003
   840        0.6761             nan     0.1000   -0.0008
   860        0.6752             nan     0.1000   -0.0005
   880        0.6747             nan     0.1000   -0.0009
   900        0.6728             nan     0.1000   -0.0020
   920        0.6722             nan     0.1000   -0.0017
   940        0.6705             nan     0.1000   -0.0003
   960        0.6703             nan     0.1000   -0.0009
   980        0.6690             nan     0.1000   -0.0009
  1000        0.6690             nan     0.1000   -0.0010
  1020        0.6666             nan     0.1000   -0.0009
  1040        0.6656             nan     0.1000   -0.0008
  1060        0.6648             nan     0.1000   -0.0012
  1080        0.6632             nan     0.1000   -0.0011
  1100        0.6620             nan     0.1000   -0.0008

- Fold02.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2637             nan     0.1000    0.0349
     2        1.2098             nan     0.1000    0.0292
     3        1.1585             nan     0.1000    0.0255
     4        1.1184             nan     0.1000    0.0195
     5        1.0850             nan     0.1000    0.0159
     6        1.0561             nan     0.1000    0.0138
     7        1.0298             nan     0.1000    0.0103
     8        1.0064             nan     0.1000    0.0101
     9        0.9875             nan     0.1000    0.0085
    10        0.9704             nan     0.1000    0.0066
    20        0.8748             nan     0.1000    0.0019
    40        0.8001             nan     0.1000   -0.0009
    60        0.7601             nan     0.1000   -0.0006
    80        0.7387             nan     0.1000   -0.0007
   100        0.7192             nan     0.1000   -0.0002
   120        0.7004             nan     0.1000   -0.0005
   140        0.6841             nan     0.1000   -0.0006
   160        0.6731             nan     0.1000   -0.0011
   180        0.6598             nan     0.1000   -0.0005
   200        0.6448             nan     0.1000   -0.0006
   220        0.6328             nan     0.1000   -0.0019
   240        0.6233             nan     0.1000   -0.0018
   260        0.6160             nan     0.1000   -0.0004
   280        0.6060             nan     0.1000   -0.0008
   300        0.5973             nan     0.1000   -0.0013
   320        0.5890             nan     0.1000   -0.0017
   340        0.5805             nan     0.1000   -0.0011
   360        0.5705             nan     0.1000   -0.0008
   380        0.5635             nan     0.1000   -0.0016
   400        0.5587             nan     0.1000   -0.0013
   420        0.5527             nan     0.1000   -0.0014
   440        0.5448             nan     0.1000   -0.0009
   460        0.5376             nan     0.1000   -0.0000
   480        0.5297             nan     0.1000   -0.0014
   500        0.5236             nan     0.1000   -0.0007
   520        0.5180             nan     0.1000   -0.0007
   540        0.5133             nan     0.1000   -0.0006
   560        0.5093             nan     0.1000   -0.0004
   580        0.5041             nan     0.1000   -0.0007
   600        0.4980             nan     0.1000   -0.0005
   620        0.4937             nan     0.1000   -0.0006
   640        0.4901             nan     0.1000   -0.0008
   660        0.4841             nan     0.1000   -0.0009
   680        0.4809             nan     0.1000   -0.0011
   700        0.4766             nan     0.1000   -0.0008
   720        0.4726             nan     0.1000   -0.0017
   740        0.4681             nan     0.1000   -0.0010
   760        0.4651             nan     0.1000   -0.0016
   780        0.4602             nan     0.1000   -0.0015
   800        0.4561             nan     0.1000   -0.0005
   820        0.4508             nan     0.1000   -0.0009
   840        0.4472             nan     0.1000   -0.0010
   860        0.4437             nan     0.1000   -0.0011
   880        0.4389             nan     0.1000   -0.0008
   900        0.4340             nan     0.1000   -0.0004
   920        0.4307             nan     0.1000   -0.0005
   940        0.4268             nan     0.1000   -0.0014
   960        0.4232             nan     0.1000   -0.0015
   980        0.4197             nan     0.1000   -0.0004
  1000        0.4165             nan     0.1000   -0.0011
  1020        0.4141             nan     0.1000   -0.0008
  1040        0.4121             nan     0.1000   -0.0007
  1060        0.4087             nan     0.1000   -0.0011
  1080        0.4047             nan     0.1000   -0.0008
  1100        0.4011             nan     0.1000   -0.0007

- Fold02.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2600             nan     0.1000    0.0403
     2        1.1966             nan     0.1000    0.0295
     3        1.1419             nan     0.1000    0.0257
     4        1.0978             nan     0.1000    0.0216
     5        1.0621             nan     0.1000    0.0168
     6        1.0325             nan     0.1000    0.0136
     7        1.0095             nan     0.1000    0.0108
     8        0.9851             nan     0.1000    0.0119
     9        0.9640             nan     0.1000    0.0093
    10        0.9459             nan     0.1000    0.0076
    20        0.8482             nan     0.1000    0.0024
    40        0.7694             nan     0.1000   -0.0010
    60        0.7193             nan     0.1000    0.0002
    80        0.6885             nan     0.1000   -0.0013
   100        0.6614             nan     0.1000   -0.0009
   120        0.6381             nan     0.1000   -0.0013
   140        0.6167             nan     0.1000   -0.0014
   160        0.5985             nan     0.1000   -0.0012
   180        0.5792             nan     0.1000   -0.0011
   200        0.5638             nan     0.1000   -0.0020
   220        0.5498             nan     0.1000   -0.0011
   240        0.5355             nan     0.1000   -0.0007
   260        0.5168             nan     0.1000   -0.0011
   280        0.5056             nan     0.1000   -0.0015
   300        0.4947             nan     0.1000   -0.0015
   320        0.4840             nan     0.1000   -0.0021
   340        0.4758             nan     0.1000   -0.0011
   360        0.4658             nan     0.1000   -0.0009
   380        0.4552             nan     0.1000   -0.0005
   400        0.4471             nan     0.1000   -0.0010
   420        0.4389             nan     0.1000   -0.0009
   440        0.4318             nan     0.1000   -0.0006
   460        0.4246             nan     0.1000   -0.0010
   480        0.4168             nan     0.1000   -0.0014
   500        0.4105             nan     0.1000   -0.0011
   520        0.4032             nan     0.1000   -0.0007
   540        0.3977             nan     0.1000   -0.0020
   560        0.3921             nan     0.1000   -0.0009
   580        0.3855             nan     0.1000   -0.0009
   600        0.3791             nan     0.1000   -0.0010
   620        0.3721             nan     0.1000   -0.0013
   640        0.3672             nan     0.1000   -0.0009
   660        0.3612             nan     0.1000   -0.0010
   680        0.3571             nan     0.1000   -0.0009
   700        0.3515             nan     0.1000   -0.0004
   720        0.3457             nan     0.1000   -0.0012
   740        0.3386             nan     0.1000   -0.0011
   760        0.3344             nan     0.1000   -0.0013
   780        0.3306             nan     0.1000   -0.0006
   800        0.3257             nan     0.1000   -0.0010
   820        0.3218             nan     0.1000   -0.0004
   840        0.3162             nan     0.1000   -0.0006
   860        0.3127             nan     0.1000   -0.0009
   880        0.3097             nan     0.1000   -0.0006
   900        0.3052             nan     0.1000   -0.0007
   920        0.3018             nan     0.1000   -0.0010
   940        0.2957             nan     0.1000   -0.0013
   960        0.2920             nan     0.1000   -0.0005
   980        0.2889             nan     0.1000   -0.0005
  1000        0.2852             nan     0.1000   -0.0007
  1020        0.2817             nan     0.1000   -0.0009
  1040        0.2795             nan     0.1000   -0.0010
  1060        0.2740             nan     0.1000   -0.0012
  1080        0.2700             nan     0.1000   -0.0005
  1100        0.2655             nan     0.1000   -0.0009

- Fold02.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3257             nan     0.0100    0.0030
     2        1.3199             nan     0.0100    0.0028
     3        1.3139             nan     0.0100    0.0029
     4        1.3083             nan     0.0100    0.0027
     5        1.3032             nan     0.0100    0.0027
     6        1.2972             nan     0.0100    0.0025
     7        1.2916             nan     0.0100    0.0024
     8        1.2861             nan     0.0100    0.0023
     9        1.2811             nan     0.0100    0.0025
    10        1.2764             nan     0.0100    0.0024
    20        1.2320             nan     0.0100    0.0020
    40        1.1657             nan     0.0100    0.0014
    60        1.1192             nan     0.0100    0.0010
    80        1.0830             nan     0.0100    0.0007
   100        1.0520             nan     0.0100    0.0005
   120        1.0268             nan     0.0100    0.0004
   140        1.0058             nan     0.0100    0.0004
   160        0.9881             nan     0.0100    0.0003
   180        0.9723             nan     0.0100    0.0002
   200        0.9587             nan     0.0100    0.0003
   220        0.9474             nan     0.0100    0.0000
   240        0.9368             nan     0.0100    0.0002
   260        0.9275             nan     0.0100    0.0001
   280        0.9193             nan     0.0100   -0.0000
   300        0.9120             nan     0.0100    0.0001
   320        0.9053             nan     0.0100    0.0001
   340        0.8989             nan     0.0100    0.0001
   360        0.8928             nan     0.0100    0.0001
   380        0.8880             nan     0.0100    0.0000
   400        0.8826             nan     0.0100    0.0001
   420        0.8771             nan     0.0100    0.0001
   440        0.8724             nan     0.0100    0.0000
   460        0.8678             nan     0.0100    0.0000
   480        0.8637             nan     0.0100    0.0001
   500        0.8599             nan     0.0100   -0.0000
   520        0.8563             nan     0.0100   -0.0001
   540        0.8525             nan     0.0100   -0.0000
   560        0.8490             nan     0.0100   -0.0000
   580        0.8457             nan     0.0100    0.0000
   600        0.8427             nan     0.0100    0.0000
   620        0.8399             nan     0.0100    0.0000
   640        0.8372             nan     0.0100   -0.0000
   660        0.8341             nan     0.0100    0.0000
   680        0.8313             nan     0.0100    0.0000
   700        0.8285             nan     0.0100    0.0000
   720        0.8259             nan     0.0100   -0.0000
   740        0.8235             nan     0.0100   -0.0000
   760        0.8213             nan     0.0100    0.0000
   780        0.8192             nan     0.0100   -0.0000
   800        0.8168             nan     0.0100   -0.0000
   820        0.8151             nan     0.0100   -0.0001
   840        0.8131             nan     0.0100   -0.0000
   860        0.8110             nan     0.0100   -0.0000
   880        0.8093             nan     0.0100   -0.0001
   900        0.8076             nan     0.0100   -0.0001
   920        0.8060             nan     0.0100   -0.0000
   940        0.8045             nan     0.0100    0.0000
   960        0.8029             nan     0.0100   -0.0000
   980        0.8013             nan     0.0100   -0.0000
  1000        0.7998             nan     0.0100   -0.0000
  1020        0.7984             nan     0.0100   -0.0001
  1040        0.7968             nan     0.0100   -0.0000
  1060        0.7953             nan     0.0100   -0.0000
  1080        0.7939             nan     0.0100   -0.0000
  1100        0.7924             nan     0.0100    0.0000

- Fold03.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3249             nan     0.0100    0.0036
     2        1.3185             nan     0.0100    0.0033
     3        1.3111             nan     0.0100    0.0034
     4        1.3041             nan     0.0100    0.0034
     5        1.2974             nan     0.0100    0.0033
     6        1.2910             nan     0.0100    0.0033
     7        1.2841             nan     0.0100    0.0032
     8        1.2779             nan     0.0100    0.0033
     9        1.2719             nan     0.0100    0.0029
    10        1.2656             nan     0.0100    0.0032
    20        1.2100             nan     0.0100    0.0025
    40        1.1234             nan     0.0100    0.0018
    60        1.0582             nan     0.0100    0.0012
    80        1.0108             nan     0.0100    0.0009
   100        0.9728             nan     0.0100    0.0007
   120        0.9453             nan     0.0100    0.0005
   140        0.9225             nan     0.0100    0.0004
   160        0.9042             nan     0.0100    0.0004
   180        0.8883             nan     0.0100    0.0003
   200        0.8749             nan     0.0100    0.0003
   220        0.8643             nan     0.0100    0.0001
   240        0.8545             nan     0.0100    0.0000
   260        0.8442             nan     0.0100    0.0000
   280        0.8360             nan     0.0100   -0.0000
   300        0.8279             nan     0.0100    0.0001
   320        0.8209             nan     0.0100   -0.0000
   340        0.8145             nan     0.0100    0.0001
   360        0.8086             nan     0.0100    0.0001
   380        0.8031             nan     0.0100   -0.0000
   400        0.7979             nan     0.0100   -0.0001
   420        0.7931             nan     0.0100   -0.0001
   440        0.7887             nan     0.0100   -0.0001
   460        0.7842             nan     0.0100   -0.0001
   480        0.7804             nan     0.0100   -0.0000
   500        0.7766             nan     0.0100   -0.0001
   520        0.7724             nan     0.0100   -0.0000
   540        0.7692             nan     0.0100   -0.0000
   560        0.7658             nan     0.0100   -0.0000
   580        0.7628             nan     0.0100   -0.0001
   600        0.7599             nan     0.0100   -0.0000
   620        0.7567             nan     0.0100    0.0000
   640        0.7536             nan     0.0100   -0.0000
   660        0.7512             nan     0.0100   -0.0000
   680        0.7487             nan     0.0100    0.0000
   700        0.7464             nan     0.0100   -0.0002
   720        0.7436             nan     0.0100   -0.0001
   740        0.7408             nan     0.0100   -0.0001
   760        0.7387             nan     0.0100   -0.0001
   780        0.7363             nan     0.0100   -0.0000
   800        0.7333             nan     0.0100   -0.0001
   820        0.7310             nan     0.0100   -0.0001
   840        0.7284             nan     0.0100   -0.0002
   860        0.7261             nan     0.0100    0.0000
   880        0.7237             nan     0.0100    0.0000
   900        0.7213             nan     0.0100   -0.0001
   920        0.7187             nan     0.0100   -0.0000
   940        0.7163             nan     0.0100   -0.0000
   960        0.7141             nan     0.0100   -0.0001
   980        0.7124             nan     0.0100   -0.0000
  1000        0.7103             nan     0.0100   -0.0001
  1020        0.7085             nan     0.0100   -0.0001
  1040        0.7064             nan     0.0100   -0.0001
  1060        0.7043             nan     0.0100   -0.0000
  1080        0.7026             nan     0.0100   -0.0001
  1100        0.7001             nan     0.0100   -0.0000

- Fold03.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3243             nan     0.0100    0.0040
     2        1.3163             nan     0.0100    0.0041
     3        1.3080             nan     0.0100    0.0039
     4        1.3005             nan     0.0100    0.0036
     5        1.2936             nan     0.0100    0.0033
     6        1.2861             nan     0.0100    0.0035
     7        1.2789             nan     0.0100    0.0035
     8        1.2721             nan     0.0100    0.0032
     9        1.2651             nan     0.0100    0.0033
    10        1.2585             nan     0.0100    0.0033
    20        1.1980             nan     0.0100    0.0029
    40        1.1035             nan     0.0100    0.0020
    60        1.0327             nan     0.0100    0.0015
    80        0.9809             nan     0.0100    0.0011
   100        0.9408             nan     0.0100    0.0007
   120        0.9093             nan     0.0100    0.0005
   140        0.8862             nan     0.0100    0.0002
   160        0.8670             nan     0.0100    0.0001
   180        0.8494             nan     0.0100    0.0003
   200        0.8355             nan     0.0100    0.0002
   220        0.8234             nan     0.0100   -0.0001
   240        0.8125             nan     0.0100    0.0000
   260        0.8029             nan     0.0100   -0.0001
   280        0.7937             nan     0.0100    0.0001
   300        0.7861             nan     0.0100   -0.0000
   320        0.7788             nan     0.0100   -0.0001
   340        0.7728             nan     0.0100   -0.0001
   360        0.7667             nan     0.0100    0.0000
   380        0.7600             nan     0.0100   -0.0001
   400        0.7546             nan     0.0100   -0.0001
   420        0.7487             nan     0.0100    0.0000
   440        0.7436             nan     0.0100    0.0001
   460        0.7393             nan     0.0100   -0.0002
   480        0.7341             nan     0.0100   -0.0000
   500        0.7293             nan     0.0100   -0.0002
   520        0.7256             nan     0.0100   -0.0000
   540        0.7209             nan     0.0100   -0.0001
   560        0.7175             nan     0.0100   -0.0001
   580        0.7138             nan     0.0100   -0.0001
   600        0.7097             nan     0.0100   -0.0000
   620        0.7061             nan     0.0100   -0.0000
   640        0.7027             nan     0.0100   -0.0002
   660        0.6993             nan     0.0100   -0.0000
   680        0.6957             nan     0.0100   -0.0000
   700        0.6921             nan     0.0100   -0.0002
   720        0.6888             nan     0.0100   -0.0001
   740        0.6860             nan     0.0100   -0.0002
   760        0.6826             nan     0.0100   -0.0001
   780        0.6794             nan     0.0100   -0.0001
   800        0.6762             nan     0.0100   -0.0001
   820        0.6738             nan     0.0100   -0.0001
   840        0.6708             nan     0.0100   -0.0001
   860        0.6673             nan     0.0100   -0.0001
   880        0.6644             nan     0.0100   -0.0001
   900        0.6615             nan     0.0100   -0.0001
   920        0.6587             nan     0.0100    0.0000
   940        0.6561             nan     0.0100   -0.0001
   960        0.6538             nan     0.0100   -0.0001
   980        0.6511             nan     0.0100   -0.0000
  1000        0.6481             nan     0.0100   -0.0001
  1020        0.6456             nan     0.0100   -0.0001
  1040        0.6433             nan     0.0100   -0.0001
  1060        0.6405             nan     0.0100   -0.0002
  1080        0.6382             nan     0.0100    0.0000
  1100        0.6357             nan     0.0100   -0.0002

- Fold03.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2679             nan     0.1000    0.0253
     2        1.2214             nan     0.1000    0.0214
     3        1.1860             nan     0.1000    0.0177
     4        1.1562             nan     0.1000    0.0141
     5        1.1279             nan     0.1000    0.0117
     6        1.1079             nan     0.1000    0.0088
     7        1.0883             nan     0.1000    0.0085
     8        1.0718             nan     0.1000    0.0064
     9        1.0558             nan     0.1000    0.0076
    10        1.0408             nan     0.1000    0.0061
    20        0.9513             nan     0.1000    0.0018
    40        0.8757             nan     0.1000    0.0005
    60        0.8382             nan     0.1000   -0.0003
    80        0.8153             nan     0.1000    0.0000
   100        0.7975             nan     0.1000   -0.0004
   120        0.7847             nan     0.1000   -0.0014
   140        0.7744             nan     0.1000   -0.0006
   160        0.7648             nan     0.1000   -0.0002
   180        0.7554             nan     0.1000   -0.0011
   200        0.7507             nan     0.1000   -0.0008
   220        0.7446             nan     0.1000   -0.0012
   240        0.7395             nan     0.1000   -0.0010
   260        0.7340             nan     0.1000   -0.0003
   280        0.7304             nan     0.1000   -0.0004
   300        0.7266             nan     0.1000   -0.0005
   320        0.7210             nan     0.1000   -0.0006
   340        0.7163             nan     0.1000   -0.0009
   360        0.7121             nan     0.1000   -0.0005
   380        0.7079             nan     0.1000   -0.0006
   400        0.7065             nan     0.1000   -0.0008
   420        0.7028             nan     0.1000   -0.0001
   440        0.6993             nan     0.1000   -0.0005
   460        0.6957             nan     0.1000   -0.0016
   480        0.6922             nan     0.1000   -0.0010
   500        0.6902             nan     0.1000   -0.0001
   520        0.6866             nan     0.1000   -0.0002
   540        0.6849             nan     0.1000   -0.0010
   560        0.6830             nan     0.1000   -0.0010
   580        0.6824             nan     0.1000   -0.0011
   600        0.6802             nan     0.1000   -0.0007
   620        0.6789             nan     0.1000   -0.0003
   640        0.6763             nan     0.1000   -0.0009
   660        0.6735             nan     0.1000   -0.0007
   680        0.6710             nan     0.1000   -0.0008
   700        0.6691             nan     0.1000   -0.0006
   720        0.6677             nan     0.1000   -0.0005
   740        0.6648             nan     0.1000   -0.0011
   760        0.6630             nan     0.1000   -0.0013
   780        0.6620             nan     0.1000   -0.0012
   800        0.6592             nan     0.1000   -0.0003
   820        0.6572             nan     0.1000   -0.0005
   840        0.6559             nan     0.1000   -0.0016
   860        0.6540             nan     0.1000   -0.0006
   880        0.6531             nan     0.1000   -0.0012
   900        0.6520             nan     0.1000   -0.0007
   920        0.6500             nan     0.1000   -0.0008
   940        0.6475             nan     0.1000   -0.0008
   960        0.6461             nan     0.1000   -0.0005
   980        0.6446             nan     0.1000   -0.0006
  1000        0.6443             nan     0.1000   -0.0010
  1020        0.6428             nan     0.1000   -0.0004
  1040        0.6419             nan     0.1000   -0.0008
  1060        0.6401             nan     0.1000   -0.0006
  1080        0.6383             nan     0.1000   -0.0009
  1100        0.6372             nan     0.1000   -0.0006

- Fold03.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2657             nan     0.1000    0.0334
     2        1.2089             nan     0.1000    0.0261
     3        1.1568             nan     0.1000    0.0248
     4        1.1152             nan     0.1000    0.0200
     5        1.0793             nan     0.1000    0.0160
     6        1.0506             nan     0.1000    0.0134
     7        1.0244             nan     0.1000    0.0117
     8        1.0018             nan     0.1000    0.0099
     9        0.9843             nan     0.1000    0.0083
    10        0.9665             nan     0.1000    0.0075
    20        0.8704             nan     0.1000    0.0022
    40        0.8025             nan     0.1000   -0.0011
    60        0.7633             nan     0.1000   -0.0009
    80        0.7358             nan     0.1000   -0.0008
   100        0.7168             nan     0.1000   -0.0004
   120        0.7013             nan     0.1000   -0.0011
   140        0.6864             nan     0.1000   -0.0011
   160        0.6708             nan     0.1000   -0.0017
   180        0.6534             nan     0.1000   -0.0007
   200        0.6380             nan     0.1000   -0.0009
   220        0.6267             nan     0.1000   -0.0012
   240        0.6157             nan     0.1000   -0.0010
   260        0.6074             nan     0.1000   -0.0020
   280        0.5978             nan     0.1000   -0.0007
   300        0.5853             nan     0.1000   -0.0012
   320        0.5766             nan     0.1000   -0.0013
   340        0.5675             nan     0.1000   -0.0011
   360        0.5608             nan     0.1000   -0.0015
   380        0.5558             nan     0.1000   -0.0016
   400        0.5473             nan     0.1000   -0.0019
   420        0.5393             nan     0.1000   -0.0008
   440        0.5336             nan     0.1000   -0.0020
   460        0.5244             nan     0.1000   -0.0003
   480        0.5188             nan     0.1000   -0.0011
   500        0.5124             nan     0.1000   -0.0014
   520        0.5087             nan     0.1000   -0.0008
   540        0.5022             nan     0.1000   -0.0019
   560        0.4980             nan     0.1000   -0.0011
   580        0.4928             nan     0.1000   -0.0002
   600        0.4856             nan     0.1000   -0.0007
   620        0.4797             nan     0.1000   -0.0007
   640        0.4747             nan     0.1000   -0.0004
   660        0.4689             nan     0.1000   -0.0007
   680        0.4641             nan     0.1000   -0.0007
   700        0.4600             nan     0.1000   -0.0007
   720        0.4539             nan     0.1000   -0.0004
   740        0.4491             nan     0.1000   -0.0008
   760        0.4438             nan     0.1000   -0.0010
   780        0.4398             nan     0.1000   -0.0006
   800        0.4356             nan     0.1000   -0.0011
   820        0.4314             nan     0.1000   -0.0003
   840        0.4282             nan     0.1000   -0.0016
   860        0.4235             nan     0.1000   -0.0004
   880        0.4181             nan     0.1000   -0.0008
   900        0.4140             nan     0.1000   -0.0014
   920        0.4101             nan     0.1000   -0.0002
   940        0.4059             nan     0.1000   -0.0008
   960        0.4024             nan     0.1000   -0.0004
   980        0.3996             nan     0.1000   -0.0005
  1000        0.3962             nan     0.1000   -0.0015
  1020        0.3923             nan     0.1000   -0.0007
  1040        0.3895             nan     0.1000   -0.0004
  1060        0.3871             nan     0.1000   -0.0008
  1080        0.3855             nan     0.1000   -0.0009
  1100        0.3828             nan     0.1000   -0.0005

- Fold03.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2545             nan     0.1000    0.0374
     2        1.1936             nan     0.1000    0.0287
     3        1.1410             nan     0.1000    0.0267
     4        1.0957             nan     0.1000    0.0220
     5        1.0568             nan     0.1000    0.0175
     6        1.0229             nan     0.1000    0.0151
     7        0.9975             nan     0.1000    0.0120
     8        0.9746             nan     0.1000    0.0103
     9        0.9539             nan     0.1000    0.0091
    10        0.9380             nan     0.1000    0.0059
    20        0.8430             nan     0.1000    0.0012
    40        0.7663             nan     0.1000   -0.0005
    60        0.7207             nan     0.1000   -0.0009
    80        0.6815             nan     0.1000   -0.0005
   100        0.6582             nan     0.1000   -0.0014
   120        0.6335             nan     0.1000   -0.0013
   140        0.6090             nan     0.1000   -0.0012
   160        0.5931             nan     0.1000   -0.0016
   180        0.5726             nan     0.1000   -0.0012
   200        0.5563             nan     0.1000   -0.0011
   220        0.5412             nan     0.1000   -0.0008
   240        0.5248             nan     0.1000   -0.0010
   260        0.5071             nan     0.1000   -0.0013
   280        0.4964             nan     0.1000   -0.0010
   300        0.4854             nan     0.1000   -0.0013
   320        0.4733             nan     0.1000   -0.0016
   340        0.4623             nan     0.1000   -0.0009
   360        0.4527             nan     0.1000   -0.0003
   380        0.4439             nan     0.1000   -0.0013
   400        0.4341             nan     0.1000   -0.0005
   420        0.4265             nan     0.1000   -0.0016
   440        0.4181             nan     0.1000   -0.0014
   460        0.4135             nan     0.1000   -0.0012
   480        0.4073             nan     0.1000   -0.0011
   500        0.3984             nan     0.1000   -0.0012
   520        0.3895             nan     0.1000   -0.0009
   540        0.3833             nan     0.1000   -0.0008
   560        0.3754             nan     0.1000   -0.0008
   580        0.3679             nan     0.1000   -0.0010
   600        0.3622             nan     0.1000   -0.0007
   620        0.3562             nan     0.1000   -0.0009
   640        0.3504             nan     0.1000   -0.0013
   660        0.3450             nan     0.1000   -0.0007
   680        0.3403             nan     0.1000   -0.0014
   700        0.3342             nan     0.1000   -0.0007
   720        0.3306             nan     0.1000   -0.0005
   740        0.3253             nan     0.1000   -0.0010
   760        0.3215             nan     0.1000   -0.0004
   780        0.3162             nan     0.1000   -0.0019
   800        0.3097             nan     0.1000   -0.0002
   820        0.3053             nan     0.1000   -0.0006
   840        0.3012             nan     0.1000   -0.0018
   860        0.2968             nan     0.1000   -0.0009
   880        0.2920             nan     0.1000   -0.0008
   900        0.2878             nan     0.1000   -0.0004
   920        0.2842             nan     0.1000   -0.0009
   940        0.2805             nan     0.1000   -0.0006
   960        0.2765             nan     0.1000   -0.0007
   980        0.2744             nan     0.1000   -0.0005
  1000        0.2700             nan     0.1000   -0.0005
  1020        0.2667             nan     0.1000   -0.0009
  1040        0.2636             nan     0.1000   -0.0015
  1060        0.2596             nan     0.1000   -0.0008
  1080        0.2554             nan     0.1000   -0.0006
  1100        0.2527             nan     0.1000   -0.0004

- Fold03.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3252             nan     0.0100    0.0031
     2        1.3195             nan     0.0100    0.0031
     3        1.3132             nan     0.0100    0.0030
     4        1.3075             nan     0.0100    0.0030
     5        1.3019             nan     0.0100    0.0029
     6        1.2959             nan     0.0100    0.0028
     7        1.2902             nan     0.0100    0.0028
     8        1.2844             nan     0.0100    0.0027
     9        1.2795             nan     0.0100    0.0027
    10        1.2742             nan     0.0100    0.0025
    20        1.2254             nan     0.0100    0.0022
    40        1.1533             nan     0.0100    0.0015
    60        1.1019             nan     0.0100    0.0011
    80        1.0638             nan     0.0100    0.0007
   100        1.0347             nan     0.0100    0.0006
   120        1.0104             nan     0.0100    0.0005
   140        0.9891             nan     0.0100    0.0004
   160        0.9716             nan     0.0100    0.0004
   180        0.9567             nan     0.0100    0.0003
   200        0.9429             nan     0.0100    0.0002
   220        0.9311             nan     0.0100    0.0002
   240        0.9199             nan     0.0100    0.0001
   260        0.9102             nan     0.0100    0.0002
   280        0.9024             nan     0.0100    0.0000
   300        0.8947             nan     0.0100    0.0001
   320        0.8879             nan     0.0100    0.0001
   340        0.8816             nan     0.0100    0.0001
   360        0.8759             nan     0.0100    0.0001
   380        0.8701             nan     0.0100    0.0001
   400        0.8649             nan     0.0100    0.0001
   420        0.8600             nan     0.0100    0.0001
   440        0.8552             nan     0.0100    0.0001
   460        0.8511             nan     0.0100    0.0000
   480        0.8470             nan     0.0100   -0.0000
   500        0.8431             nan     0.0100    0.0000
   520        0.8397             nan     0.0100   -0.0001
   540        0.8361             nan     0.0100    0.0000
   560        0.8327             nan     0.0100    0.0000
   580        0.8295             nan     0.0100    0.0000
   600        0.8263             nan     0.0100    0.0000
   620        0.8236             nan     0.0100    0.0000
   640        0.8207             nan     0.0100   -0.0000
   660        0.8184             nan     0.0100   -0.0000
   680        0.8157             nan     0.0100   -0.0001
   700        0.8131             nan     0.0100    0.0000
   720        0.8108             nan     0.0100   -0.0000
   740        0.8085             nan     0.0100   -0.0001
   760        0.8063             nan     0.0100   -0.0001
   780        0.8042             nan     0.0100   -0.0000
   800        0.8022             nan     0.0100   -0.0000
   820        0.8001             nan     0.0100   -0.0000
   840        0.7982             nan     0.0100    0.0000
   860        0.7963             nan     0.0100   -0.0000
   880        0.7944             nan     0.0100   -0.0001
   900        0.7926             nan     0.0100    0.0000
   920        0.7910             nan     0.0100    0.0000
   940        0.7892             nan     0.0100   -0.0000
   960        0.7875             nan     0.0100    0.0000
   980        0.7858             nan     0.0100   -0.0000
  1000        0.7843             nan     0.0100    0.0000
  1020        0.7829             nan     0.0100   -0.0001
  1040        0.7814             nan     0.0100   -0.0000
  1060        0.7801             nan     0.0100   -0.0000
  1080        0.7787             nan     0.0100   -0.0001
  1100        0.7776             nan     0.0100   -0.0001

- Fold04.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3243             nan     0.0100    0.0039
     2        1.3163             nan     0.0100    0.0037
     3        1.3085             nan     0.0100    0.0040
     4        1.3013             nan     0.0100    0.0035
     5        1.2942             nan     0.0100    0.0036
     6        1.2869             nan     0.0100    0.0035
     7        1.2801             nan     0.0100    0.0033
     8        1.2735             nan     0.0100    0.0033
     9        1.2674             nan     0.0100    0.0036
    10        1.2606             nan     0.0100    0.0033
    20        1.2010             nan     0.0100    0.0025
    40        1.1097             nan     0.0100    0.0019
    60        1.0438             nan     0.0100    0.0013
    80        0.9936             nan     0.0100    0.0008
   100        0.9567             nan     0.0100    0.0008
   120        0.9278             nan     0.0100    0.0007
   140        0.9040             nan     0.0100    0.0005
   160        0.8864             nan     0.0100    0.0002
   180        0.8716             nan     0.0100    0.0003
   200        0.8583             nan     0.0100    0.0001
   220        0.8473             nan     0.0100    0.0001
   240        0.8373             nan     0.0100    0.0001
   260        0.8279             nan     0.0100    0.0002
   280        0.8198             nan     0.0100   -0.0000
   300        0.8112             nan     0.0100    0.0001
   320        0.8044             nan     0.0100    0.0002
   340        0.7986             nan     0.0100   -0.0000
   360        0.7931             nan     0.0100   -0.0001
   380        0.7876             nan     0.0100   -0.0000
   400        0.7830             nan     0.0100    0.0000
   420        0.7781             nan     0.0100   -0.0001
   440        0.7732             nan     0.0100   -0.0000
   460        0.7687             nan     0.0100    0.0001
   480        0.7649             nan     0.0100   -0.0001
   500        0.7612             nan     0.0100   -0.0001
   520        0.7576             nan     0.0100   -0.0001
   540        0.7540             nan     0.0100    0.0000
   560        0.7503             nan     0.0100   -0.0002
   580        0.7471             nan     0.0100   -0.0001
   600        0.7441             nan     0.0100   -0.0001
   620        0.7409             nan     0.0100   -0.0001
   640        0.7381             nan     0.0100   -0.0001
   660        0.7355             nan     0.0100   -0.0000
   680        0.7329             nan     0.0100   -0.0001
   700        0.7308             nan     0.0100   -0.0001
   720        0.7286             nan     0.0100   -0.0001
   740        0.7255             nan     0.0100   -0.0001
   760        0.7232             nan     0.0100   -0.0001
   780        0.7212             nan     0.0100   -0.0001
   800        0.7189             nan     0.0100   -0.0000
   820        0.7167             nan     0.0100   -0.0001
   840        0.7143             nan     0.0100   -0.0000
   860        0.7124             nan     0.0100   -0.0002
   880        0.7102             nan     0.0100   -0.0000
   900        0.7082             nan     0.0100   -0.0001
   920        0.7060             nan     0.0100   -0.0002
   940        0.7042             nan     0.0100   -0.0001
   960        0.7019             nan     0.0100   -0.0000
   980        0.7000             nan     0.0100   -0.0002
  1000        0.6984             nan     0.0100   -0.0001
  1020        0.6963             nan     0.0100   -0.0001
  1040        0.6944             nan     0.0100   -0.0001
  1060        0.6925             nan     0.0100   -0.0001
  1080        0.6906             nan     0.0100   -0.0001
  1100        0.6887             nan     0.0100   -0.0001

- Fold04.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3233             nan     0.0100    0.0043
     2        1.3148             nan     0.0100    0.0040
     3        1.3068             nan     0.0100    0.0040
     4        1.2989             nan     0.0100    0.0041
     5        1.2913             nan     0.0100    0.0036
     6        1.2838             nan     0.0100    0.0037
     7        1.2758             nan     0.0100    0.0036
     8        1.2687             nan     0.0100    0.0036
     9        1.2618             nan     0.0100    0.0035
    10        1.2548             nan     0.0100    0.0034
    20        1.1919             nan     0.0100    0.0028
    40        1.0919             nan     0.0100    0.0020
    60        1.0194             nan     0.0100    0.0013
    80        0.9651             nan     0.0100    0.0010
   100        0.9236             nan     0.0100    0.0008
   120        0.8929             nan     0.0100    0.0005
   140        0.8693             nan     0.0100    0.0003
   160        0.8510             nan     0.0100    0.0003
   180        0.8338             nan     0.0100    0.0002
   200        0.8193             nan     0.0100   -0.0001
   220        0.8072             nan     0.0100    0.0002
   240        0.7967             nan     0.0100    0.0001
   260        0.7873             nan     0.0100    0.0000
   280        0.7786             nan     0.0100   -0.0000
   300        0.7711             nan     0.0100   -0.0000
   320        0.7648             nan     0.0100    0.0000
   340        0.7578             nan     0.0100   -0.0001
   360        0.7526             nan     0.0100   -0.0001
   380        0.7465             nan     0.0100   -0.0000
   400        0.7407             nan     0.0100    0.0000
   420        0.7345             nan     0.0100   -0.0000
   440        0.7295             nan     0.0100   -0.0001
   460        0.7255             nan     0.0100   -0.0001
   480        0.7213             nan     0.0100   -0.0000
   500        0.7171             nan     0.0100   -0.0000
   520        0.7128             nan     0.0100   -0.0000
   540        0.7092             nan     0.0100   -0.0000
   560        0.7053             nan     0.0100   -0.0000
   580        0.7020             nan     0.0100   -0.0003
   600        0.6984             nan     0.0100   -0.0001
   620        0.6944             nan     0.0100   -0.0001
   640        0.6913             nan     0.0100   -0.0001
   660        0.6881             nan     0.0100   -0.0001
   680        0.6849             nan     0.0100   -0.0000
   700        0.6817             nan     0.0100   -0.0002
   720        0.6785             nan     0.0100   -0.0001
   740        0.6753             nan     0.0100   -0.0001
   760        0.6725             nan     0.0100   -0.0001
   780        0.6698             nan     0.0100   -0.0001
   800        0.6669             nan     0.0100   -0.0001
   820        0.6641             nan     0.0100   -0.0001
   840        0.6612             nan     0.0100   -0.0001
   860        0.6581             nan     0.0100   -0.0001
   880        0.6553             nan     0.0100    0.0000
   900        0.6526             nan     0.0100   -0.0001
   920        0.6501             nan     0.0100   -0.0001
   940        0.6475             nan     0.0100   -0.0001
   960        0.6450             nan     0.0100   -0.0001
   980        0.6426             nan     0.0100   -0.0001
  1000        0.6402             nan     0.0100   -0.0001
  1020        0.6377             nan     0.0100   -0.0001
  1040        0.6355             nan     0.0100   -0.0002
  1060        0.6332             nan     0.0100   -0.0001
  1080        0.6311             nan     0.0100   -0.0001
  1100        0.6288             nan     0.0100   -0.0001

- Fold04.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2640             nan     0.1000    0.0289
     2        1.2160             nan     0.1000    0.0233
     3        1.1763             nan     0.1000    0.0187
     4        1.1439             nan     0.1000    0.0161
     5        1.1147             nan     0.1000    0.0131
     6        1.0936             nan     0.1000    0.0109
     7        1.0742             nan     0.1000    0.0085
     8        1.0586             nan     0.1000    0.0078
     9        1.0417             nan     0.1000    0.0077
    10        1.0288             nan     0.1000    0.0058
    20        0.9371             nan     0.1000    0.0022
    40        0.8646             nan     0.1000   -0.0000
    60        0.8273             nan     0.1000    0.0000
    80        0.8006             nan     0.1000   -0.0010
   100        0.7857             nan     0.1000   -0.0020
   120        0.7728             nan     0.1000   -0.0001
   140        0.7627             nan     0.1000   -0.0007
   160        0.7517             nan     0.1000   -0.0004
   180        0.7446             nan     0.1000   -0.0012
   200        0.7373             nan     0.1000   -0.0002
   220        0.7333             nan     0.1000   -0.0010
   240        0.7284             nan     0.1000   -0.0007
   260        0.7238             nan     0.1000   -0.0005
   280        0.7191             nan     0.1000   -0.0005
   300        0.7150             nan     0.1000   -0.0003
   320        0.7119             nan     0.1000   -0.0008
   340        0.7082             nan     0.1000   -0.0007
   360        0.7055             nan     0.1000   -0.0009
   380        0.7020             nan     0.1000   -0.0006
   400        0.6993             nan     0.1000   -0.0018
   420        0.6970             nan     0.1000   -0.0023
   440        0.6934             nan     0.1000   -0.0006
   460        0.6911             nan     0.1000   -0.0010
   480        0.6885             nan     0.1000   -0.0005
   500        0.6870             nan     0.1000   -0.0002
   520        0.6847             nan     0.1000   -0.0007
   540        0.6840             nan     0.1000   -0.0012
   560        0.6817             nan     0.1000   -0.0005
   580        0.6800             nan     0.1000   -0.0007
   600        0.6781             nan     0.1000   -0.0006
   620        0.6761             nan     0.1000   -0.0006
   640        0.6753             nan     0.1000   -0.0011
   660        0.6736             nan     0.1000   -0.0005
   680        0.6725             nan     0.1000   -0.0006
   700        0.6701             nan     0.1000   -0.0010
   720        0.6672             nan     0.1000   -0.0007
   740        0.6662             nan     0.1000   -0.0022
   760        0.6649             nan     0.1000   -0.0009
   780        0.6638             nan     0.1000   -0.0008
   800        0.6607             nan     0.1000   -0.0006
   820        0.6585             nan     0.1000   -0.0005
   840        0.6570             nan     0.1000   -0.0009
   860        0.6545             nan     0.1000   -0.0005
   880        0.6530             nan     0.1000   -0.0014
   900        0.6514             nan     0.1000   -0.0011
   920        0.6503             nan     0.1000   -0.0015
   940        0.6487             nan     0.1000   -0.0010
   960        0.6471             nan     0.1000   -0.0004
   980        0.6476             nan     0.1000   -0.0007
  1000        0.6452             nan     0.1000   -0.0004
  1020        0.6431             nan     0.1000   -0.0013
  1040        0.6424             nan     0.1000   -0.0009
  1060        0.6414             nan     0.1000   -0.0004
  1080        0.6403             nan     0.1000   -0.0005
  1100        0.6398             nan     0.1000   -0.0006

- Fold04.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2562             nan     0.1000    0.0363
     2        1.1917             nan     0.1000    0.0297
     3        1.1430             nan     0.1000    0.0213
     4        1.1002             nan     0.1000    0.0207
     5        1.0655             nan     0.1000    0.0177
     6        1.0342             nan     0.1000    0.0158
     7        1.0061             nan     0.1000    0.0118
     8        0.9845             nan     0.1000    0.0090
     9        0.9669             nan     0.1000    0.0095
    10        0.9486             nan     0.1000    0.0085
    20        0.8577             nan     0.1000    0.0016
    40        0.7860             nan     0.1000   -0.0006
    60        0.7501             nan     0.1000   -0.0005
    80        0.7230             nan     0.1000   -0.0004
   100        0.6986             nan     0.1000   -0.0006
   120        0.6832             nan     0.1000   -0.0016
   140        0.6682             nan     0.1000   -0.0005
   160        0.6556             nan     0.1000   -0.0008
   180        0.6442             nan     0.1000   -0.0018
   200        0.6327             nan     0.1000   -0.0004
   220        0.6183             nan     0.1000   -0.0007
   240        0.6097             nan     0.1000   -0.0009
   260        0.6002             nan     0.1000   -0.0006
   280        0.5920             nan     0.1000   -0.0008
   300        0.5833             nan     0.1000   -0.0019
   320        0.5726             nan     0.1000   -0.0004
   340        0.5630             nan     0.1000   -0.0004
   360        0.5540             nan     0.1000   -0.0014
   380        0.5466             nan     0.1000   -0.0006
   400        0.5407             nan     0.1000   -0.0006
   420        0.5323             nan     0.1000   -0.0011
   440        0.5258             nan     0.1000   -0.0008
   460        0.5224             nan     0.1000   -0.0005
   480        0.5157             nan     0.1000   -0.0013
   500        0.5098             nan     0.1000   -0.0015
   520        0.5021             nan     0.1000   -0.0008
   540        0.4974             nan     0.1000   -0.0015
   560        0.4918             nan     0.1000   -0.0016
   580        0.4869             nan     0.1000   -0.0005
   600        0.4830             nan     0.1000   -0.0006
   620        0.4775             nan     0.1000   -0.0009
   640        0.4716             nan     0.1000   -0.0011
   660        0.4673             nan     0.1000   -0.0015
   680        0.4641             nan     0.1000   -0.0002
   700        0.4603             nan     0.1000   -0.0017
   720        0.4554             nan     0.1000   -0.0014
   740        0.4517             nan     0.1000   -0.0005
   760        0.4482             nan     0.1000   -0.0014
   780        0.4451             nan     0.1000   -0.0013
   800        0.4415             nan     0.1000   -0.0014
   820        0.4371             nan     0.1000   -0.0005
   840        0.4329             nan     0.1000   -0.0011
   860        0.4270             nan     0.1000   -0.0005
   880        0.4246             nan     0.1000   -0.0009
   900        0.4214             nan     0.1000   -0.0014
   920        0.4183             nan     0.1000   -0.0008
   940        0.4144             nan     0.1000   -0.0006
   960        0.4107             nan     0.1000   -0.0006
   980        0.4070             nan     0.1000   -0.0010
  1000        0.4022             nan     0.1000   -0.0010
  1020        0.3995             nan     0.1000   -0.0004
  1040        0.3963             nan     0.1000   -0.0011
  1060        0.3928             nan     0.1000   -0.0017
  1080        0.3885             nan     0.1000   -0.0011
  1100        0.3867             nan     0.1000   -0.0015

- Fold04.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2468             nan     0.1000    0.0400
     2        1.1837             nan     0.1000    0.0310
     3        1.1310             nan     0.1000    0.0257
     4        1.0863             nan     0.1000    0.0212
     5        1.0492             nan     0.1000    0.0157
     6        1.0170             nan     0.1000    0.0148
     7        0.9903             nan     0.1000    0.0102
     8        0.9640             nan     0.1000    0.0112
     9        0.9397             nan     0.1000    0.0113
    10        0.9193             nan     0.1000    0.0076
    20        0.8259             nan     0.1000   -0.0003
    40        0.7435             nan     0.1000   -0.0012
    60        0.7025             nan     0.1000   -0.0012
    80        0.6716             nan     0.1000   -0.0007
   100        0.6431             nan     0.1000   -0.0009
   120        0.6192             nan     0.1000   -0.0016
   140        0.6002             nan     0.1000   -0.0016
   160        0.5808             nan     0.1000   -0.0011
   180        0.5579             nan     0.1000   -0.0016
   200        0.5412             nan     0.1000   -0.0003
   220        0.5234             nan     0.1000   -0.0005
   240        0.5084             nan     0.1000   -0.0008
   260        0.4966             nan     0.1000   -0.0012
   280        0.4851             nan     0.1000   -0.0008
   300        0.4750             nan     0.1000   -0.0000
   320        0.4649             nan     0.1000   -0.0011
   340        0.4568             nan     0.1000   -0.0012
   360        0.4473             nan     0.1000   -0.0005
   380        0.4408             nan     0.1000   -0.0006
   400        0.4336             nan     0.1000   -0.0017
   420        0.4248             nan     0.1000   -0.0007
   440        0.4173             nan     0.1000   -0.0006
   460        0.4113             nan     0.1000   -0.0011
   480        0.4018             nan     0.1000   -0.0008
   500        0.3946             nan     0.1000   -0.0010
   520        0.3889             nan     0.1000   -0.0007
   540        0.3820             nan     0.1000   -0.0010
   560        0.3755             nan     0.1000   -0.0022
   580        0.3697             nan     0.1000   -0.0008
   600        0.3631             nan     0.1000   -0.0007
   620        0.3575             nan     0.1000   -0.0011
   640        0.3516             nan     0.1000   -0.0007
   660        0.3467             nan     0.1000   -0.0013
   680        0.3413             nan     0.1000   -0.0013
   700        0.3367             nan     0.1000   -0.0012
   720        0.3318             nan     0.1000   -0.0010
   740        0.3276             nan     0.1000   -0.0012
   760        0.3224             nan     0.1000   -0.0005
   780        0.3165             nan     0.1000   -0.0010
   800        0.3118             nan     0.1000   -0.0010
   820        0.3054             nan     0.1000   -0.0006
   840        0.3006             nan     0.1000   -0.0003
   860        0.2970             nan     0.1000   -0.0006
   880        0.2929             nan     0.1000   -0.0010
   900        0.2899             nan     0.1000   -0.0011
   920        0.2863             nan     0.1000   -0.0018
   940        0.2833             nan     0.1000   -0.0011
   960        0.2799             nan     0.1000   -0.0010
   980        0.2761             nan     0.1000   -0.0005
  1000        0.2731             nan     0.1000   -0.0006
  1020        0.2697             nan     0.1000   -0.0008
  1040        0.2660             nan     0.1000   -0.0009
  1060        0.2629             nan     0.1000   -0.0007
  1080        0.2590             nan     0.1000   -0.0007
  1100        0.2567             nan     0.1000   -0.0014

- Fold04.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3261             nan     0.0100    0.0029
     2        1.3205             nan     0.0100    0.0028
     3        1.3146             nan     0.0100    0.0029
     4        1.3098             nan     0.0100    0.0027
     5        1.3049             nan     0.0100    0.0027
     6        1.2997             nan     0.0100    0.0027
     7        1.2943             nan     0.0100    0.0026
     8        1.2890             nan     0.0100    0.0026
     9        1.2834             nan     0.0100    0.0025
    10        1.2785             nan     0.0100    0.0025
    20        1.2341             nan     0.0100    0.0020
    40        1.1633             nan     0.0100    0.0014
    60        1.1157             nan     0.0100    0.0010
    80        1.0793             nan     0.0100    0.0008
   100        1.0501             nan     0.0100    0.0006
   120        1.0253             nan     0.0100    0.0005
   140        1.0054             nan     0.0100    0.0004
   160        0.9887             nan     0.0100    0.0002
   180        0.9742             nan     0.0100    0.0001
   200        0.9613             nan     0.0100    0.0002
   220        0.9497             nan     0.0100    0.0002
   240        0.9396             nan     0.0100    0.0001
   260        0.9308             nan     0.0100    0.0002
   280        0.9222             nan     0.0100    0.0001
   300        0.9155             nan     0.0100    0.0001
   320        0.9087             nan     0.0100    0.0001
   340        0.9017             nan     0.0100    0.0001
   360        0.8961             nan     0.0100    0.0001
   380        0.8909             nan     0.0100   -0.0000
   400        0.8862             nan     0.0100    0.0000
   420        0.8814             nan     0.0100    0.0000
   440        0.8766             nan     0.0100   -0.0000
   460        0.8723             nan     0.0100   -0.0000
   480        0.8685             nan     0.0100    0.0000
   500        0.8645             nan     0.0100   -0.0000
   520        0.8606             nan     0.0100    0.0000
   540        0.8574             nan     0.0100    0.0000
   560        0.8541             nan     0.0100    0.0000
   580        0.8509             nan     0.0100   -0.0000
   600        0.8479             nan     0.0100   -0.0000
   620        0.8449             nan     0.0100   -0.0000
   640        0.8422             nan     0.0100   -0.0000
   660        0.8394             nan     0.0100   -0.0000
   680        0.8369             nan     0.0100    0.0000
   700        0.8346             nan     0.0100   -0.0001
   720        0.8319             nan     0.0100   -0.0001
   740        0.8294             nan     0.0100   -0.0000
   760        0.8271             nan     0.0100    0.0000
   780        0.8250             nan     0.0100   -0.0001
   800        0.8229             nan     0.0100   -0.0000
   820        0.8208             nan     0.0100   -0.0001
   840        0.8189             nan     0.0100   -0.0000
   860        0.8171             nan     0.0100    0.0000
   880        0.8150             nan     0.0100    0.0000
   900        0.8135             nan     0.0100   -0.0001
   920        0.8119             nan     0.0100   -0.0000
   940        0.8103             nan     0.0100   -0.0001
   960        0.8084             nan     0.0100   -0.0001
   980        0.8070             nan     0.0100   -0.0001
  1000        0.8054             nan     0.0100   -0.0000
  1020        0.8039             nan     0.0100   -0.0001
  1040        0.8026             nan     0.0100   -0.0001
  1060        0.8013             nan     0.0100   -0.0001
  1080        0.8001             nan     0.0100   -0.0001
  1100        0.7986             nan     0.0100   -0.0001

- Fold05.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3247             nan     0.0100    0.0037
     2        1.3176             nan     0.0100    0.0034
     3        1.3104             nan     0.0100    0.0037
     4        1.3032             nan     0.0100    0.0034
     5        1.2966             nan     0.0100    0.0031
     6        1.2906             nan     0.0100    0.0033
     7        1.2839             nan     0.0100    0.0030
     8        1.2773             nan     0.0100    0.0028
     9        1.2704             nan     0.0100    0.0031
    10        1.2644             nan     0.0100    0.0032
    20        1.2089             nan     0.0100    0.0022
    40        1.1211             nan     0.0100    0.0016
    60        1.0571             nan     0.0100    0.0012
    80        1.0099             nan     0.0100    0.0010
   100        0.9755             nan     0.0100    0.0005
   120        0.9470             nan     0.0100    0.0006
   140        0.9244             nan     0.0100    0.0002
   160        0.9069             nan     0.0100    0.0003
   180        0.8920             nan     0.0100    0.0002
   200        0.8788             nan     0.0100    0.0001
   220        0.8676             nan     0.0100    0.0002
   240        0.8578             nan     0.0100    0.0001
   260        0.8483             nan     0.0100    0.0001
   280        0.8408             nan     0.0100    0.0000
   300        0.8333             nan     0.0100    0.0000
   320        0.8258             nan     0.0100   -0.0000
   340        0.8193             nan     0.0100    0.0000
   360        0.8128             nan     0.0100    0.0001
   380        0.8069             nan     0.0100   -0.0000
   400        0.8020             nan     0.0100    0.0000
   420        0.7969             nan     0.0100    0.0000
   440        0.7914             nan     0.0100    0.0000
   460        0.7871             nan     0.0100    0.0000
   480        0.7832             nan     0.0100   -0.0001
   500        0.7790             nan     0.0100   -0.0001
   520        0.7749             nan     0.0100    0.0000
   540        0.7713             nan     0.0100   -0.0000
   560        0.7680             nan     0.0100   -0.0001
   580        0.7647             nan     0.0100   -0.0001
   600        0.7614             nan     0.0100   -0.0000
   620        0.7584             nan     0.0100   -0.0001
   640        0.7554             nan     0.0100   -0.0001
   660        0.7525             nan     0.0100   -0.0001
   680        0.7497             nan     0.0100   -0.0001
   700        0.7469             nan     0.0100   -0.0001
   720        0.7440             nan     0.0100    0.0000
   740        0.7417             nan     0.0100   -0.0001
   760        0.7390             nan     0.0100   -0.0001
   780        0.7363             nan     0.0100   -0.0000
   800        0.7340             nan     0.0100   -0.0001
   820        0.7311             nan     0.0100    0.0000
   840        0.7287             nan     0.0100   -0.0001
   860        0.7263             nan     0.0100   -0.0002
   880        0.7243             nan     0.0100   -0.0000
   900        0.7220             nan     0.0100   -0.0000
   920        0.7197             nan     0.0100   -0.0000
   940        0.7177             nan     0.0100   -0.0001
   960        0.7154             nan     0.0100   -0.0000
   980        0.7132             nan     0.0100   -0.0000
  1000        0.7113             nan     0.0100   -0.0001
  1020        0.7091             nan     0.0100   -0.0000
  1040        0.7074             nan     0.0100   -0.0003
  1060        0.7054             nan     0.0100   -0.0001
  1080        0.7040             nan     0.0100   -0.0001
  1100        0.7023             nan     0.0100   -0.0000

- Fold05.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3242             nan     0.0100    0.0040
     2        1.3167             nan     0.0100    0.0038
     3        1.3087             nan     0.0100    0.0039
     4        1.3013             nan     0.0100    0.0036
     5        1.2940             nan     0.0100    0.0036
     6        1.2867             nan     0.0100    0.0033
     7        1.2798             nan     0.0100    0.0037
     8        1.2732             nan     0.0100    0.0034
     9        1.2666             nan     0.0100    0.0032
    10        1.2596             nan     0.0100    0.0034
    20        1.1968             nan     0.0100    0.0028
    40        1.1006             nan     0.0100    0.0019
    60        1.0316             nan     0.0100    0.0015
    80        0.9786             nan     0.0100    0.0011
   100        0.9397             nan     0.0100    0.0007
   120        0.9097             nan     0.0100    0.0004
   140        0.8867             nan     0.0100    0.0003
   160        0.8670             nan     0.0100    0.0003
   180        0.8508             nan     0.0100    0.0002
   200        0.8372             nan     0.0100    0.0001
   220        0.8247             nan     0.0100    0.0001
   240        0.8140             nan     0.0100    0.0002
   260        0.8045             nan     0.0100    0.0001
   280        0.7961             nan     0.0100    0.0001
   300        0.7874             nan     0.0100   -0.0000
   320        0.7796             nan     0.0100    0.0001
   340        0.7722             nan     0.0100   -0.0000
   360        0.7661             nan     0.0100   -0.0000
   380        0.7606             nan     0.0100    0.0000
   400        0.7545             nan     0.0100    0.0000
   420        0.7493             nan     0.0100   -0.0000
   440        0.7442             nan     0.0100   -0.0000
   460        0.7398             nan     0.0100   -0.0001
   480        0.7350             nan     0.0100   -0.0001
   500        0.7304             nan     0.0100   -0.0000
   520        0.7262             nan     0.0100   -0.0003
   540        0.7223             nan     0.0100    0.0000
   560        0.7188             nan     0.0100   -0.0000
   580        0.7153             nan     0.0100   -0.0001
   600        0.7119             nan     0.0100   -0.0001
   620        0.7083             nan     0.0100   -0.0001
   640        0.7052             nan     0.0100   -0.0000
   660        0.7017             nan     0.0100   -0.0001
   680        0.6978             nan     0.0100   -0.0001
   700        0.6947             nan     0.0100   -0.0000
   720        0.6911             nan     0.0100   -0.0001
   740        0.6875             nan     0.0100   -0.0001
   760        0.6849             nan     0.0100   -0.0000
   780        0.6817             nan     0.0100   -0.0001
   800        0.6788             nan     0.0100   -0.0001
   820        0.6757             nan     0.0100   -0.0001
   840        0.6729             nan     0.0100   -0.0001
   860        0.6705             nan     0.0100   -0.0001
   880        0.6678             nan     0.0100   -0.0001
   900        0.6647             nan     0.0100   -0.0001
   920        0.6620             nan     0.0100   -0.0002
   940        0.6590             nan     0.0100   -0.0001
   960        0.6570             nan     0.0100   -0.0003
   980        0.6544             nan     0.0100   -0.0001
  1000        0.6517             nan     0.0100   -0.0001
  1020        0.6490             nan     0.0100   -0.0001
  1040        0.6466             nan     0.0100   -0.0002
  1060        0.6445             nan     0.0100   -0.0001
  1080        0.6422             nan     0.0100   -0.0001
  1100        0.6395             nan     0.0100   -0.0001

- Fold05.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2706             nan     0.1000    0.0283
     2        1.2232             nan     0.1000    0.0225
     3        1.1832             nan     0.1000    0.0173
     4        1.1513             nan     0.1000    0.0146
     5        1.1267             nan     0.1000    0.0123
     6        1.1045             nan     0.1000    0.0093
     7        1.0883             nan     0.1000    0.0081
     8        1.0705             nan     0.1000    0.0077
     9        1.0562             nan     0.1000    0.0062
    10        1.0434             nan     0.1000    0.0068
    20        0.9574             nan     0.1000    0.0025
    40        0.8833             nan     0.1000    0.0005
    60        0.8471             nan     0.1000    0.0003
    80        0.8240             nan     0.1000   -0.0001
   100        0.8042             nan     0.1000   -0.0000
   120        0.7912             nan     0.1000   -0.0006
   140        0.7796             nan     0.1000   -0.0002
   160        0.7717             nan     0.1000   -0.0002
   180        0.7631             nan     0.1000   -0.0007
   200        0.7565             nan     0.1000   -0.0006
   220        0.7511             nan     0.1000   -0.0012
   240        0.7470             nan     0.1000   -0.0004
   260        0.7414             nan     0.1000   -0.0007
   280        0.7368             nan     0.1000    0.0000
   300        0.7341             nan     0.1000   -0.0001
   320        0.7313             nan     0.1000   -0.0010
   340        0.7283             nan     0.1000   -0.0003
   360        0.7245             nan     0.1000   -0.0008
   380        0.7200             nan     0.1000   -0.0008
   400        0.7176             nan     0.1000   -0.0008
   420        0.7162             nan     0.1000   -0.0007
   440        0.7126             nan     0.1000   -0.0010
   460        0.7080             nan     0.1000   -0.0011
   480        0.7044             nan     0.1000   -0.0003
   500        0.7021             nan     0.1000   -0.0007
   520        0.7003             nan     0.1000   -0.0007
   540        0.6984             nan     0.1000   -0.0008
   560        0.6945             nan     0.1000   -0.0008
   580        0.6925             nan     0.1000   -0.0006
   600        0.6908             nan     0.1000   -0.0005
   620        0.6891             nan     0.1000   -0.0008
   640        0.6867             nan     0.1000   -0.0001
   660        0.6856             nan     0.1000   -0.0008
   680        0.6830             nan     0.1000   -0.0011
   700        0.6809             nan     0.1000   -0.0006
   720        0.6793             nan     0.1000   -0.0011
   740        0.6782             nan     0.1000   -0.0007
   760        0.6764             nan     0.1000   -0.0016
   780        0.6747             nan     0.1000   -0.0008
   800        0.6738             nan     0.1000   -0.0010
   820        0.6723             nan     0.1000   -0.0006
   840        0.6710             nan     0.1000   -0.0007
   860        0.6695             nan     0.1000   -0.0007
   880        0.6679             nan     0.1000   -0.0003
   900        0.6667             nan     0.1000   -0.0004
   920        0.6647             nan     0.1000   -0.0006
   940        0.6627             nan     0.1000   -0.0007
   960        0.6612             nan     0.1000   -0.0007
   980        0.6602             nan     0.1000   -0.0011
  1000        0.6584             nan     0.1000   -0.0010
  1020        0.6564             nan     0.1000   -0.0006
  1040        0.6555             nan     0.1000   -0.0006
  1060        0.6567             nan     0.1000   -0.0011
  1080        0.6544             nan     0.1000   -0.0006
  1100        0.6533             nan     0.1000   -0.0012

- Fold05.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2627             nan     0.1000    0.0362
     2        1.2077             nan     0.1000    0.0275
     3        1.1602             nan     0.1000    0.0228
     4        1.1198             nan     0.1000    0.0204
     5        1.0835             nan     0.1000    0.0167
     6        1.0568             nan     0.1000    0.0138
     7        1.0319             nan     0.1000    0.0114
     8        1.0078             nan     0.1000    0.0107
     9        0.9906             nan     0.1000    0.0055
    10        0.9726             nan     0.1000    0.0029
    20        0.8762             nan     0.1000    0.0013
    40        0.8038             nan     0.1000   -0.0002
    60        0.7615             nan     0.1000    0.0001
    80        0.7321             nan     0.1000   -0.0003
   100        0.7096             nan     0.1000   -0.0001
   120        0.6936             nan     0.1000   -0.0020
   140        0.6805             nan     0.1000   -0.0017
   160        0.6711             nan     0.1000   -0.0014
   180        0.6562             nan     0.1000   -0.0013
   200        0.6454             nan     0.1000   -0.0020
   220        0.6343             nan     0.1000   -0.0009
   240        0.6247             nan     0.1000   -0.0012
   260        0.6150             nan     0.1000   -0.0005
   280        0.6076             nan     0.1000   -0.0005
   300        0.5984             nan     0.1000   -0.0017
   320        0.5896             nan     0.1000   -0.0002
   340        0.5816             nan     0.1000   -0.0013
   360        0.5737             nan     0.1000   -0.0006
   380        0.5649             nan     0.1000   -0.0018
   400        0.5552             nan     0.1000   -0.0009
   420        0.5495             nan     0.1000   -0.0010
   440        0.5409             nan     0.1000   -0.0005
   460        0.5343             nan     0.1000   -0.0012
   480        0.5272             nan     0.1000   -0.0020
   500        0.5206             nan     0.1000   -0.0006
   520        0.5140             nan     0.1000   -0.0007
   540        0.5073             nan     0.1000   -0.0007
   560        0.5032             nan     0.1000   -0.0005
   580        0.4987             nan     0.1000   -0.0015
   600        0.4926             nan     0.1000   -0.0004
   620        0.4873             nan     0.1000   -0.0009
   640        0.4818             nan     0.1000   -0.0012
   660        0.4764             nan     0.1000   -0.0006
   680        0.4720             nan     0.1000   -0.0007
   700        0.4675             nan     0.1000   -0.0013
   720        0.4623             nan     0.1000   -0.0005
   740        0.4584             nan     0.1000   -0.0008
   760        0.4510             nan     0.1000   -0.0005
   780        0.4478             nan     0.1000   -0.0012
   800        0.4448             nan     0.1000   -0.0011
   820        0.4406             nan     0.1000   -0.0005
   840        0.4379             nan     0.1000   -0.0012
   860        0.4343             nan     0.1000   -0.0010
   880        0.4310             nan     0.1000   -0.0006
   900        0.4278             nan     0.1000   -0.0008
   920        0.4243             nan     0.1000   -0.0008
   940        0.4217             nan     0.1000   -0.0007
   960        0.4188             nan     0.1000   -0.0009
   980        0.4148             nan     0.1000   -0.0006
  1000        0.4122             nan     0.1000   -0.0005
  1020        0.4095             nan     0.1000   -0.0012
  1040        0.4065             nan     0.1000   -0.0010
  1060        0.4023             nan     0.1000   -0.0011
  1080        0.3998             nan     0.1000   -0.0012
  1100        0.3971             nan     0.1000   -0.0011

- Fold05.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2550             nan     0.1000    0.0373
     2        1.1922             nan     0.1000    0.0319
     3        1.1422             nan     0.1000    0.0263
     4        1.0975             nan     0.1000    0.0204
     5        1.0615             nan     0.1000    0.0177
     6        1.0308             nan     0.1000    0.0151
     7        1.0038             nan     0.1000    0.0134
     8        0.9779             nan     0.1000    0.0121
     9        0.9581             nan     0.1000    0.0081
    10        0.9389             nan     0.1000    0.0095
    20        0.8349             nan     0.1000    0.0023
    40        0.7613             nan     0.1000   -0.0003
    60        0.7145             nan     0.1000   -0.0017
    80        0.6851             nan     0.1000   -0.0003
   100        0.6589             nan     0.1000   -0.0011
   120        0.6388             nan     0.1000   -0.0016
   140        0.6227             nan     0.1000   -0.0022
   160        0.6032             nan     0.1000   -0.0003
   180        0.5870             nan     0.1000   -0.0006
   200        0.5691             nan     0.1000   -0.0017
   220        0.5544             nan     0.1000   -0.0015
   240        0.5415             nan     0.1000   -0.0004
   260        0.5295             nan     0.1000   -0.0006
   280        0.5143             nan     0.1000   -0.0014
   300        0.5031             nan     0.1000   -0.0024
   320        0.4875             nan     0.1000   -0.0006
   340        0.4767             nan     0.1000   -0.0007
   360        0.4683             nan     0.1000   -0.0017
   380        0.4562             nan     0.1000   -0.0009
   400        0.4486             nan     0.1000   -0.0027
   420        0.4376             nan     0.1000   -0.0008
   440        0.4282             nan     0.1000   -0.0006
   460        0.4211             nan     0.1000   -0.0012
   480        0.4148             nan     0.1000   -0.0011
   500        0.4044             nan     0.1000   -0.0005
   520        0.3996             nan     0.1000   -0.0016
   540        0.3909             nan     0.1000   -0.0012
   560        0.3841             nan     0.1000   -0.0017
   580        0.3781             nan     0.1000   -0.0005
   600        0.3721             nan     0.1000   -0.0010
   620        0.3651             nan     0.1000   -0.0010
   640        0.3592             nan     0.1000   -0.0008
   660        0.3542             nan     0.1000   -0.0009
   680        0.3486             nan     0.1000   -0.0014
   700        0.3435             nan     0.1000   -0.0010
   720        0.3379             nan     0.1000   -0.0014
   740        0.3330             nan     0.1000   -0.0005
   760        0.3278             nan     0.1000   -0.0006
   780        0.3232             nan     0.1000   -0.0008
   800        0.3190             nan     0.1000   -0.0011
   820        0.3161             nan     0.1000   -0.0013
   840        0.3096             nan     0.1000   -0.0010
   860        0.3048             nan     0.1000   -0.0005
   880        0.3011             nan     0.1000   -0.0008
   900        0.2975             nan     0.1000   -0.0014
   920        0.2930             nan     0.1000   -0.0006
   940        0.2904             nan     0.1000   -0.0016
   960        0.2869             nan     0.1000   -0.0011
   980        0.2831             nan     0.1000   -0.0007
  1000        0.2799             nan     0.1000   -0.0005
  1020        0.2773             nan     0.1000   -0.0009
  1040        0.2736             nan     0.1000   -0.0008
  1060        0.2694             nan     0.1000   -0.0009
  1080        0.2672             nan     0.1000   -0.0004
  1100        0.2644             nan     0.1000   -0.0009

- Fold05.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3257             nan     0.0100    0.0029
     2        1.3195             nan     0.0100    0.0031
     3        1.3132             nan     0.0100    0.0030
     4        1.3072             nan     0.0100    0.0029
     5        1.3015             nan     0.0100    0.0029
     6        1.2954             nan     0.0100    0.0027
     7        1.2902             nan     0.0100    0.0026
     8        1.2852             nan     0.0100    0.0025
     9        1.2800             nan     0.0100    0.0026
    10        1.2744             nan     0.0100    0.0026
    20        1.2292             nan     0.0100    0.0020
    40        1.1564             nan     0.0100    0.0015
    60        1.1069             nan     0.0100    0.0010
    80        1.0701             nan     0.0100    0.0007
   100        1.0397             nan     0.0100    0.0006
   120        1.0151             nan     0.0100    0.0005
   140        0.9949             nan     0.0100    0.0004
   160        0.9767             nan     0.0100    0.0004
   180        0.9604             nan     0.0100    0.0001
   200        0.9469             nan     0.0100    0.0002
   220        0.9345             nan     0.0100    0.0002
   240        0.9235             nan     0.0100    0.0002
   260        0.9136             nan     0.0100    0.0002
   280        0.9053             nan     0.0100    0.0001
   300        0.8972             nan     0.0100    0.0001
   320        0.8896             nan     0.0100    0.0001
   340        0.8831             nan     0.0100    0.0001
   360        0.8771             nan     0.0100    0.0000
   380        0.8711             nan     0.0100    0.0001
   400        0.8655             nan     0.0100    0.0000
   420        0.8607             nan     0.0100    0.0000
   440        0.8558             nan     0.0100   -0.0000
   460        0.8512             nan     0.0100    0.0000
   480        0.8471             nan     0.0100   -0.0000
   500        0.8430             nan     0.0100   -0.0000
   520        0.8392             nan     0.0100    0.0000
   540        0.8355             nan     0.0100   -0.0000
   560        0.8320             nan     0.0100    0.0000
   580        0.8284             nan     0.0100    0.0000
   600        0.8250             nan     0.0100   -0.0000
   620        0.8220             nan     0.0100   -0.0000
   640        0.8190             nan     0.0100   -0.0001
   660        0.8163             nan     0.0100   -0.0000
   680        0.8137             nan     0.0100    0.0000
   700        0.8111             nan     0.0100   -0.0001
   720        0.8088             nan     0.0100   -0.0000
   740        0.8064             nan     0.0100    0.0000
   760        0.8041             nan     0.0100   -0.0000
   780        0.8018             nan     0.0100   -0.0000
   800        0.7995             nan     0.0100   -0.0000
   820        0.7973             nan     0.0100   -0.0000
   840        0.7952             nan     0.0100   -0.0000
   860        0.7932             nan     0.0100   -0.0000
   880        0.7913             nan     0.0100   -0.0000
   900        0.7896             nan     0.0100   -0.0000
   920        0.7877             nan     0.0100    0.0000
   940        0.7859             nan     0.0100   -0.0001
   960        0.7841             nan     0.0100   -0.0001
   980        0.7825             nan     0.0100   -0.0000
  1000        0.7808             nan     0.0100   -0.0000
  1020        0.7790             nan     0.0100   -0.0000
  1040        0.7776             nan     0.0100   -0.0001
  1060        0.7762             nan     0.0100   -0.0000
  1080        0.7748             nan     0.0100   -0.0001
  1100        0.7734             nan     0.0100   -0.0001

- Fold06.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3239             nan     0.0100    0.0037
     2        1.3166             nan     0.0100    0.0038
     3        1.3092             nan     0.0100    0.0036
     4        1.3018             nan     0.0100    0.0036
     5        1.2944             nan     0.0100    0.0037
     6        1.2871             nan     0.0100    0.0035
     7        1.2803             nan     0.0100    0.0032
     8        1.2732             nan     0.0100    0.0033
     9        1.2672             nan     0.0100    0.0029
    10        1.2606             nan     0.0100    0.0033
    20        1.2019             nan     0.0100    0.0027
    40        1.1139             nan     0.0100    0.0017
    60        1.0470             nan     0.0100    0.0013
    80        0.9984             nan     0.0100    0.0010
   100        0.9601             nan     0.0100    0.0008
   120        0.9310             nan     0.0100    0.0006
   140        0.9083             nan     0.0100    0.0004
   160        0.8890             nan     0.0100    0.0002
   180        0.8735             nan     0.0100    0.0002
   200        0.8599             nan     0.0100    0.0002
   220        0.8491             nan     0.0100    0.0002
   240        0.8392             nan     0.0100    0.0001
   260        0.8296             nan     0.0100    0.0001
   280        0.8202             nan     0.0100    0.0001
   300        0.8120             nan     0.0100    0.0001
   320        0.8046             nan     0.0100    0.0001
   340        0.7981             nan     0.0100    0.0001
   360        0.7920             nan     0.0100    0.0000
   380        0.7865             nan     0.0100    0.0000
   400        0.7807             nan     0.0100    0.0000
   420        0.7752             nan     0.0100    0.0000
   440        0.7706             nan     0.0100    0.0000
   460        0.7662             nan     0.0100   -0.0001
   480        0.7617             nan     0.0100   -0.0000
   500        0.7574             nan     0.0100    0.0000
   520        0.7532             nan     0.0100   -0.0000
   540        0.7494             nan     0.0100   -0.0000
   560        0.7460             nan     0.0100   -0.0000
   580        0.7427             nan     0.0100   -0.0001
   600        0.7391             nan     0.0100   -0.0000
   620        0.7364             nan     0.0100   -0.0000
   640        0.7333             nan     0.0100   -0.0001
   660        0.7299             nan     0.0100    0.0000
   680        0.7267             nan     0.0100    0.0000
   700        0.7238             nan     0.0100   -0.0000
   720        0.7209             nan     0.0100   -0.0000
   740        0.7184             nan     0.0100   -0.0000
   760        0.7154             nan     0.0100   -0.0000
   780        0.7126             nan     0.0100   -0.0000
   800        0.7102             nan     0.0100   -0.0001
   820        0.7079             nan     0.0100   -0.0001
   840        0.7055             nan     0.0100   -0.0002
   860        0.7032             nan     0.0100   -0.0000
   880        0.7009             nan     0.0100    0.0000
   900        0.6989             nan     0.0100   -0.0000
   920        0.6968             nan     0.0100   -0.0001
   940        0.6943             nan     0.0100   -0.0000
   960        0.6918             nan     0.0100   -0.0001
   980        0.6898             nan     0.0100   -0.0001
  1000        0.6878             nan     0.0100   -0.0000
  1020        0.6856             nan     0.0100   -0.0001
  1040        0.6838             nan     0.0100   -0.0001
  1060        0.6817             nan     0.0100   -0.0001
  1080        0.6800             nan     0.0100   -0.0001
  1100        0.6782             nan     0.0100   -0.0001

- Fold06.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3237             nan     0.0100    0.0039
     2        1.3154             nan     0.0100    0.0042
     3        1.3072             nan     0.0100    0.0038
     4        1.2986             nan     0.0100    0.0040
     5        1.2908             nan     0.0100    0.0038
     6        1.2837             nan     0.0100    0.0036
     7        1.2758             nan     0.0100    0.0036
     8        1.2684             nan     0.0100    0.0037
     9        1.2615             nan     0.0100    0.0032
    10        1.2551             nan     0.0100    0.0031
    20        1.1916             nan     0.0100    0.0028
    40        1.0904             nan     0.0100    0.0020
    60        1.0186             nan     0.0100    0.0015
    80        0.9660             nan     0.0100    0.0011
   100        0.9263             nan     0.0100    0.0007
   120        0.8947             nan     0.0100    0.0006
   140        0.8705             nan     0.0100    0.0005
   160        0.8505             nan     0.0100    0.0002
   180        0.8340             nan     0.0100    0.0003
   200        0.8195             nan     0.0100    0.0003
   220        0.8070             nan     0.0100    0.0000
   240        0.7953             nan     0.0100   -0.0000
   260        0.7850             nan     0.0100    0.0001
   280        0.7757             nan     0.0100    0.0001
   300        0.7670             nan     0.0100    0.0001
   320        0.7597             nan     0.0100   -0.0000
   340        0.7523             nan     0.0100   -0.0000
   360        0.7457             nan     0.0100    0.0000
   380        0.7392             nan     0.0100    0.0000
   400        0.7335             nan     0.0100   -0.0000
   420        0.7284             nan     0.0100   -0.0002
   440        0.7232             nan     0.0100   -0.0002
   460        0.7184             nan     0.0100   -0.0000
   480        0.7135             nan     0.0100   -0.0000
   500        0.7091             nan     0.0100   -0.0001
   520        0.7052             nan     0.0100   -0.0002
   540        0.7009             nan     0.0100   -0.0002
   560        0.6966             nan     0.0100   -0.0001
   580        0.6923             nan     0.0100   -0.0001
   600        0.6884             nan     0.0100   -0.0000
   620        0.6847             nan     0.0100   -0.0000
   640        0.6809             nan     0.0100   -0.0001
   660        0.6776             nan     0.0100   -0.0001
   680        0.6745             nan     0.0100   -0.0001
   700        0.6710             nan     0.0100   -0.0001
   720        0.6680             nan     0.0100   -0.0002
   740        0.6649             nan     0.0100   -0.0001
   760        0.6618             nan     0.0100   -0.0001
   780        0.6588             nan     0.0100   -0.0001
   800        0.6559             nan     0.0100   -0.0001
   820        0.6529             nan     0.0100   -0.0001
   840        0.6493             nan     0.0100   -0.0001
   860        0.6465             nan     0.0100   -0.0001
   880        0.6439             nan     0.0100   -0.0002
   900        0.6412             nan     0.0100   -0.0002
   920        0.6384             nan     0.0100   -0.0001
   940        0.6358             nan     0.0100   -0.0001
   960        0.6332             nan     0.0100   -0.0001
   980        0.6304             nan     0.0100   -0.0002
  1000        0.6277             nan     0.0100   -0.0001
  1020        0.6252             nan     0.0100   -0.0001
  1040        0.6226             nan     0.0100   -0.0000
  1060        0.6197             nan     0.0100   -0.0001
  1080        0.6176             nan     0.0100   -0.0001
  1100        0.6151             nan     0.0100   -0.0001

- Fold06.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2770             nan     0.1000    0.0276
     2        1.2292             nan     0.1000    0.0252
     3        1.1888             nan     0.1000    0.0205
     4        1.1499             nan     0.1000    0.0157
     5        1.1229             nan     0.1000    0.0130
     6        1.1034             nan     0.1000    0.0108
     7        1.0833             nan     0.1000    0.0075
     8        1.0651             nan     0.1000    0.0089
     9        1.0510             nan     0.1000    0.0059
    10        1.0403             nan     0.1000    0.0048
    20        0.9458             nan     0.1000    0.0027
    40        0.8654             nan     0.1000    0.0008
    60        0.8264             nan     0.1000    0.0007
    80        0.8002             nan     0.1000   -0.0003
   100        0.7799             nan     0.1000    0.0000
   120        0.7669             nan     0.1000   -0.0005
   140        0.7559             nan     0.1000   -0.0004
   160        0.7464             nan     0.1000    0.0000
   180        0.7391             nan     0.1000   -0.0004
   200        0.7324             nan     0.1000   -0.0005
   220        0.7281             nan     0.1000   -0.0007
   240        0.7230             nan     0.1000   -0.0008
   260        0.7157             nan     0.1000   -0.0002
   280        0.7109             nan     0.1000   -0.0003
   300        0.7064             nan     0.1000   -0.0008
   320        0.7021             nan     0.1000   -0.0004
   340        0.6985             nan     0.1000   -0.0002
   360        0.6959             nan     0.1000   -0.0006
   380        0.6925             nan     0.1000   -0.0007
   400        0.6884             nan     0.1000   -0.0008
   420        0.6855             nan     0.1000   -0.0010
   440        0.6822             nan     0.1000   -0.0001
   460        0.6803             nan     0.1000   -0.0004
   480        0.6765             nan     0.1000   -0.0006
   500        0.6732             nan     0.1000   -0.0009
   520        0.6704             nan     0.1000   -0.0013
   540        0.6677             nan     0.1000   -0.0010
   560        0.6665             nan     0.1000   -0.0007
   580        0.6649             nan     0.1000   -0.0004
   600        0.6623             nan     0.1000   -0.0009
   620        0.6603             nan     0.1000   -0.0003
   640        0.6580             nan     0.1000   -0.0006
   660        0.6565             nan     0.1000   -0.0013
   680        0.6555             nan     0.1000   -0.0006
   700        0.6532             nan     0.1000   -0.0008
   720        0.6505             nan     0.1000   -0.0009
   740        0.6503             nan     0.1000   -0.0010
   760        0.6475             nan     0.1000   -0.0004
   780        0.6472             nan     0.1000   -0.0017
   800        0.6449             nan     0.1000   -0.0010
   820        0.6420             nan     0.1000   -0.0006
   840        0.6397             nan     0.1000   -0.0008
   860        0.6375             nan     0.1000   -0.0003
   880        0.6366             nan     0.1000   -0.0006
   900        0.6334             nan     0.1000   -0.0005
   920        0.6320             nan     0.1000   -0.0009
   940        0.6298             nan     0.1000   -0.0006
   960        0.6278             nan     0.1000   -0.0011
   980        0.6268             nan     0.1000   -0.0005
  1000        0.6243             nan     0.1000   -0.0008
  1020        0.6227             nan     0.1000   -0.0004
  1040        0.6212             nan     0.1000   -0.0007
  1060        0.6200             nan     0.1000   -0.0007
  1080        0.6186             nan     0.1000   -0.0008
  1100        0.6161             nan     0.1000   -0.0004

- Fold06.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2547             nan     0.1000    0.0355
     2        1.1966             nan     0.1000    0.0294
     3        1.1518             nan     0.1000    0.0200
     4        1.1099             nan     0.1000    0.0221
     5        1.0726             nan     0.1000    0.0177
     6        1.0414             nan     0.1000    0.0139
     7        1.0163             nan     0.1000    0.0115
     8        0.9900             nan     0.1000    0.0126
     9        0.9710             nan     0.1000    0.0093
    10        0.9522             nan     0.1000    0.0084
    20        0.8522             nan     0.1000    0.0013
    40        0.7750             nan     0.1000   -0.0000
    60        0.7352             nan     0.1000   -0.0000
    80        0.7079             nan     0.1000    0.0007
   100        0.6891             nan     0.1000   -0.0009
   120        0.6682             nan     0.1000   -0.0005
   140        0.6525             nan     0.1000   -0.0009
   160        0.6414             nan     0.1000   -0.0017
   180        0.6275             nan     0.1000   -0.0007
   200        0.6161             nan     0.1000   -0.0005
   220        0.6051             nan     0.1000   -0.0012
   240        0.5932             nan     0.1000   -0.0007
   260        0.5832             nan     0.1000   -0.0021
   280        0.5748             nan     0.1000   -0.0010
   300        0.5698             nan     0.1000   -0.0012
   320        0.5590             nan     0.1000   -0.0006
   340        0.5502             nan     0.1000   -0.0011
   360        0.5404             nan     0.1000   -0.0018
   380        0.5336             nan     0.1000   -0.0008
   400        0.5248             nan     0.1000   -0.0013
   420        0.5175             nan     0.1000   -0.0004
   440        0.5115             nan     0.1000   -0.0007
   460        0.5042             nan     0.1000   -0.0005
   480        0.4969             nan     0.1000   -0.0017
   500        0.4912             nan     0.1000   -0.0007
   520        0.4835             nan     0.1000   -0.0014
   540        0.4779             nan     0.1000   -0.0008
   560        0.4723             nan     0.1000   -0.0010
   580        0.4690             nan     0.1000   -0.0011
   600        0.4647             nan     0.1000   -0.0007
   620        0.4606             nan     0.1000   -0.0007
   640        0.4549             nan     0.1000   -0.0011
   660        0.4504             nan     0.1000   -0.0012
   680        0.4462             nan     0.1000   -0.0007
   700        0.4430             nan     0.1000   -0.0009
   720        0.4387             nan     0.1000   -0.0010
   740        0.4327             nan     0.1000   -0.0018
   760        0.4300             nan     0.1000   -0.0010
   780        0.4258             nan     0.1000   -0.0004
   800        0.4224             nan     0.1000   -0.0009
   820        0.4197             nan     0.1000   -0.0009
   840        0.4163             nan     0.1000   -0.0010
   860        0.4130             nan     0.1000   -0.0007
   880        0.4091             nan     0.1000   -0.0008
   900        0.4062             nan     0.1000   -0.0004
   920        0.4045             nan     0.1000   -0.0009
   940        0.4008             nan     0.1000   -0.0012
   960        0.3974             nan     0.1000   -0.0010
   980        0.3921             nan     0.1000   -0.0008
  1000        0.3894             nan     0.1000   -0.0008
  1020        0.3870             nan     0.1000   -0.0013
  1040        0.3833             nan     0.1000   -0.0004
  1060        0.3789             nan     0.1000   -0.0001
  1080        0.3760             nan     0.1000   -0.0008
  1100        0.3719             nan     0.1000   -0.0008

- Fold06.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2528             nan     0.1000    0.0376
     2        1.1836             nan     0.1000    0.0329
     3        1.1320             nan     0.1000    0.0221
     4        1.0875             nan     0.1000    0.0222
     5        1.0464             nan     0.1000    0.0195
     6        1.0178             nan     0.1000    0.0143
     7        0.9884             nan     0.1000    0.0114
     8        0.9602             nan     0.1000    0.0123
     9        0.9370             nan     0.1000    0.0103
    10        0.9153             nan     0.1000    0.0092
    20        0.8107             nan     0.1000    0.0025
    40        0.7309             nan     0.1000    0.0003
    60        0.6866             nan     0.1000   -0.0006
    80        0.6604             nan     0.1000   -0.0023
   100        0.6338             nan     0.1000   -0.0013
   120        0.6089             nan     0.1000   -0.0007
   140        0.5869             nan     0.1000   -0.0013
   160        0.5698             nan     0.1000   -0.0013
   180        0.5526             nan     0.1000   -0.0014
   200        0.5379             nan     0.1000   -0.0010
   220        0.5208             nan     0.1000   -0.0014
   240        0.5077             nan     0.1000   -0.0006
   260        0.4956             nan     0.1000   -0.0019
   280        0.4819             nan     0.1000   -0.0023
   300        0.4727             nan     0.1000   -0.0009
   320        0.4581             nan     0.1000   -0.0005
   340        0.4492             nan     0.1000   -0.0007
   360        0.4386             nan     0.1000   -0.0009
   380        0.4295             nan     0.1000   -0.0010
   400        0.4228             nan     0.1000   -0.0004
   420        0.4173             nan     0.1000   -0.0009
   440        0.4070             nan     0.1000   -0.0011
   460        0.4004             nan     0.1000   -0.0010
   480        0.3921             nan     0.1000   -0.0012
   500        0.3838             nan     0.1000   -0.0010
   520        0.3779             nan     0.1000   -0.0013
   540        0.3706             nan     0.1000   -0.0018
   560        0.3653             nan     0.1000   -0.0011
   580        0.3577             nan     0.1000   -0.0013
   600        0.3517             nan     0.1000   -0.0008
   620        0.3458             nan     0.1000   -0.0009
   640        0.3412             nan     0.1000   -0.0007
   660        0.3340             nan     0.1000   -0.0011
   680        0.3288             nan     0.1000   -0.0012
   700        0.3247             nan     0.1000   -0.0015
   720        0.3202             nan     0.1000   -0.0006
   740        0.3136             nan     0.1000   -0.0013
   760        0.3073             nan     0.1000   -0.0008
   780        0.3030             nan     0.1000   -0.0008
   800        0.2964             nan     0.1000   -0.0004
   820        0.2917             nan     0.1000   -0.0012
   840        0.2877             nan     0.1000   -0.0009
   860        0.2835             nan     0.1000   -0.0011
   880        0.2780             nan     0.1000   -0.0012
   900        0.2746             nan     0.1000   -0.0009
   920        0.2705             nan     0.1000   -0.0006
   940        0.2674             nan     0.1000   -0.0007
   960        0.2632             nan     0.1000   -0.0006
   980        0.2585             nan     0.1000   -0.0006
  1000        0.2554             nan     0.1000   -0.0007
  1020        0.2516             nan     0.1000   -0.0006
  1040        0.2478             nan     0.1000   -0.0006
  1060        0.2444             nan     0.1000   -0.0007
  1080        0.2406             nan     0.1000   -0.0006
  1100        0.2377             nan     0.1000   -0.0011

- Fold06.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3253             nan     0.0100    0.0031
     2        1.3188             nan     0.0100    0.0031
     3        1.3128             nan     0.0100    0.0029
     4        1.3071             nan     0.0100    0.0030
     5        1.3011             nan     0.0100    0.0030
     6        1.2952             nan     0.0100    0.0028
     7        1.2891             nan     0.0100    0.0028
     8        1.2836             nan     0.0100    0.0025
     9        1.2785             nan     0.0100    0.0026
    10        1.2734             nan     0.0100    0.0027
    20        1.2247             nan     0.0100    0.0022
    40        1.1508             nan     0.0100    0.0015
    60        1.1004             nan     0.0100    0.0010
    80        1.0625             nan     0.0100    0.0008
   100        1.0323             nan     0.0100    0.0006
   120        1.0061             nan     0.0100    0.0006
   140        0.9845             nan     0.0100    0.0004
   160        0.9657             nan     0.0100    0.0002
   180        0.9499             nan     0.0100    0.0003
   200        0.9359             nan     0.0100    0.0003
   220        0.9239             nan     0.0100    0.0002
   240        0.9137             nan     0.0100    0.0001
   260        0.9042             nan     0.0100    0.0002
   280        0.8952             nan     0.0100    0.0000
   300        0.8880             nan     0.0100    0.0001
   320        0.8810             nan     0.0100    0.0001
   340        0.8746             nan     0.0100    0.0000
   360        0.8686             nan     0.0100    0.0000
   380        0.8635             nan     0.0100   -0.0000
   400        0.8579             nan     0.0100   -0.0000
   420        0.8529             nan     0.0100    0.0000
   440        0.8487             nan     0.0100    0.0000
   460        0.8447             nan     0.0100    0.0001
   480        0.8409             nan     0.0100    0.0000
   500        0.8371             nan     0.0100    0.0001
   520        0.8336             nan     0.0100   -0.0000
   540        0.8301             nan     0.0100    0.0000
   560        0.8270             nan     0.0100    0.0000
   580        0.8239             nan     0.0100   -0.0001
   600        0.8207             nan     0.0100   -0.0001
   620        0.8181             nan     0.0100   -0.0000
   640        0.8155             nan     0.0100   -0.0000
   660        0.8131             nan     0.0100   -0.0000
   680        0.8107             nan     0.0100   -0.0000
   700        0.8084             nan     0.0100   -0.0000
   720        0.8063             nan     0.0100   -0.0001
   740        0.8042             nan     0.0100   -0.0000
   760        0.8022             nan     0.0100   -0.0001
   780        0.8003             nan     0.0100    0.0000
   800        0.7986             nan     0.0100   -0.0001
   820        0.7970             nan     0.0100   -0.0000
   840        0.7954             nan     0.0100   -0.0001
   860        0.7935             nan     0.0100   -0.0000
   880        0.7919             nan     0.0100   -0.0000
   900        0.7903             nan     0.0100   -0.0001
   920        0.7886             nan     0.0100   -0.0000
   940        0.7872             nan     0.0100   -0.0000
   960        0.7856             nan     0.0100   -0.0000
   980        0.7842             nan     0.0100   -0.0000
  1000        0.7827             nan     0.0100   -0.0000
  1020        0.7812             nan     0.0100   -0.0000
  1040        0.7800             nan     0.0100   -0.0000
  1060        0.7788             nan     0.0100   -0.0000
  1080        0.7774             nan     0.0100   -0.0000
  1100        0.7761             nan     0.0100   -0.0000

- Fold07.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3236             nan     0.0100    0.0040
     2        1.3158             nan     0.0100    0.0041
     3        1.3085             nan     0.0100    0.0035
     4        1.3015             nan     0.0100    0.0033
     5        1.2939             nan     0.0100    0.0036
     6        1.2866             nan     0.0100    0.0035
     7        1.2796             nan     0.0100    0.0033
     8        1.2728             nan     0.0100    0.0033
     9        1.2657             nan     0.0100    0.0034
    10        1.2587             nan     0.0100    0.0033
    20        1.1978             nan     0.0100    0.0027
    40        1.1070             nan     0.0100    0.0020
    60        1.0416             nan     0.0100    0.0015
    80        0.9922             nan     0.0100    0.0009
   100        0.9539             nan     0.0100    0.0008
   120        0.9237             nan     0.0100    0.0006
   140        0.8997             nan     0.0100    0.0005
   160        0.8812             nan     0.0100    0.0004
   180        0.8664             nan     0.0100    0.0002
   200        0.8526             nan     0.0100    0.0003
   220        0.8415             nan     0.0100    0.0002
   240        0.8312             nan     0.0100    0.0001
   260        0.8225             nan     0.0100    0.0000
   280        0.8143             nan     0.0100    0.0001
   300        0.8076             nan     0.0100    0.0000
   320        0.8015             nan     0.0100   -0.0000
   340        0.7957             nan     0.0100   -0.0000
   360        0.7903             nan     0.0100    0.0000
   380        0.7850             nan     0.0100   -0.0000
   400        0.7802             nan     0.0100   -0.0001
   420        0.7755             nan     0.0100   -0.0000
   440        0.7717             nan     0.0100   -0.0000
   460        0.7676             nan     0.0100   -0.0001
   480        0.7637             nan     0.0100   -0.0001
   500        0.7600             nan     0.0100   -0.0001
   520        0.7563             nan     0.0100   -0.0000
   540        0.7531             nan     0.0100   -0.0000
   560        0.7499             nan     0.0100   -0.0001
   580        0.7465             nan     0.0100   -0.0000
   600        0.7436             nan     0.0100   -0.0000
   620        0.7411             nan     0.0100   -0.0001
   640        0.7382             nan     0.0100   -0.0001
   660        0.7356             nan     0.0100   -0.0001
   680        0.7332             nan     0.0100   -0.0001
   700        0.7309             nan     0.0100   -0.0001
   720        0.7283             nan     0.0100   -0.0000
   740        0.7264             nan     0.0100   -0.0001
   760        0.7241             nan     0.0100   -0.0000
   780        0.7218             nan     0.0100   -0.0001
   800        0.7198             nan     0.0100   -0.0000
   820        0.7171             nan     0.0100   -0.0001
   840        0.7152             nan     0.0100   -0.0001
   860        0.7129             nan     0.0100   -0.0001
   880        0.7107             nan     0.0100   -0.0001
   900        0.7084             nan     0.0100   -0.0000
   920        0.7067             nan     0.0100   -0.0001
   940        0.7048             nan     0.0100   -0.0001
   960        0.7027             nan     0.0100   -0.0001
   980        0.7010             nan     0.0100   -0.0001
  1000        0.6989             nan     0.0100   -0.0000
  1020        0.6967             nan     0.0100   -0.0001
  1040        0.6948             nan     0.0100   -0.0001
  1060        0.6929             nan     0.0100    0.0000
  1080        0.6909             nan     0.0100   -0.0000
  1100        0.6890             nan     0.0100   -0.0000

- Fold07.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3235             nan     0.0100    0.0042
     2        1.3147             nan     0.0100    0.0044
     3        1.3065             nan     0.0100    0.0040
     4        1.2985             nan     0.0100    0.0038
     5        1.2908             nan     0.0100    0.0039
     6        1.2834             nan     0.0100    0.0035
     7        1.2761             nan     0.0100    0.0036
     8        1.2690             nan     0.0100    0.0033
     9        1.2615             nan     0.0100    0.0038
    10        1.2545             nan     0.0100    0.0034
    20        1.1889             nan     0.0100    0.0029
    40        1.0887             nan     0.0100    0.0020
    60        1.0135             nan     0.0100    0.0015
    80        0.9595             nan     0.0100    0.0011
   100        0.9202             nan     0.0100    0.0008
   120        0.8896             nan     0.0100    0.0005
   140        0.8658             nan     0.0100    0.0004
   160        0.8459             nan     0.0100    0.0003
   180        0.8299             nan     0.0100    0.0001
   200        0.8164             nan     0.0100    0.0002
   220        0.8054             nan     0.0100    0.0001
   240        0.7961             nan     0.0100    0.0001
   260        0.7873             nan     0.0100    0.0001
   280        0.7791             nan     0.0100   -0.0000
   300        0.7714             nan     0.0100   -0.0000
   320        0.7650             nan     0.0100    0.0001
   340        0.7585             nan     0.0100    0.0000
   360        0.7516             nan     0.0100   -0.0000
   380        0.7451             nan     0.0100   -0.0002
   400        0.7398             nan     0.0100   -0.0001
   420        0.7348             nan     0.0100   -0.0001
   440        0.7296             nan     0.0100   -0.0002
   460        0.7244             nan     0.0100   -0.0000
   480        0.7195             nan     0.0100    0.0000
   500        0.7160             nan     0.0100   -0.0002
   520        0.7114             nan     0.0100   -0.0002
   540        0.7075             nan     0.0100   -0.0000
   560        0.7041             nan     0.0100   -0.0000
   580        0.7006             nan     0.0100   -0.0001
   600        0.6973             nan     0.0100   -0.0002
   620        0.6939             nan     0.0100    0.0000
   640        0.6906             nan     0.0100   -0.0001
   660        0.6872             nan     0.0100   -0.0002
   680        0.6835             nan     0.0100   -0.0001
   700        0.6805             nan     0.0100   -0.0001
   720        0.6775             nan     0.0100   -0.0001
   740        0.6744             nan     0.0100   -0.0001
   760        0.6709             nan     0.0100   -0.0001
   780        0.6675             nan     0.0100   -0.0001
   800        0.6646             nan     0.0100   -0.0002
   820        0.6619             nan     0.0100    0.0000
   840        0.6588             nan     0.0100   -0.0002
   860        0.6562             nan     0.0100   -0.0001
   880        0.6533             nan     0.0100   -0.0001
   900        0.6510             nan     0.0100   -0.0000
   920        0.6482             nan     0.0100   -0.0001
   940        0.6455             nan     0.0100   -0.0001
   960        0.6435             nan     0.0100   -0.0001
   980        0.6404             nan     0.0100   -0.0000
  1000        0.6383             nan     0.0100   -0.0001
  1020        0.6357             nan     0.0100   -0.0001
  1040        0.6333             nan     0.0100   -0.0002
  1060        0.6305             nan     0.0100   -0.0001
  1080        0.6285             nan     0.0100   -0.0001
  1100        0.6261             nan     0.0100   -0.0001

- Fold07.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2691             nan     0.1000    0.0303
     2        1.2186             nan     0.1000    0.0244
     3        1.1752             nan     0.1000    0.0191
     4        1.1435             nan     0.1000    0.0149
     5        1.1146             nan     0.1000    0.0135
     6        1.0893             nan     0.1000    0.0106
     7        1.0701             nan     0.1000    0.0085
     8        1.0518             nan     0.1000    0.0078
     9        1.0337             nan     0.1000    0.0073
    10        1.0208             nan     0.1000    0.0067
    20        0.9263             nan     0.1000    0.0019
    40        0.8544             nan     0.1000   -0.0001
    60        0.8227             nan     0.1000   -0.0003
    80        0.8020             nan     0.1000    0.0000
   100        0.7838             nan     0.1000   -0.0007
   120        0.7725             nan     0.1000   -0.0002
   140        0.7631             nan     0.1000   -0.0009
   160        0.7546             nan     0.1000   -0.0013
   180        0.7484             nan     0.1000   -0.0011
   200        0.7413             nan     0.1000   -0.0006
   220        0.7360             nan     0.1000   -0.0001
   240        0.7311             nan     0.1000   -0.0007
   260        0.7270             nan     0.1000   -0.0012
   280        0.7235             nan     0.1000   -0.0009
   300        0.7200             nan     0.1000   -0.0007
   320        0.7152             nan     0.1000   -0.0005
   340        0.7121             nan     0.1000   -0.0006
   360        0.7088             nan     0.1000   -0.0011
   380        0.7050             nan     0.1000   -0.0003
   400        0.7024             nan     0.1000   -0.0004
   420        0.7004             nan     0.1000   -0.0012
   440        0.6974             nan     0.1000   -0.0005
   460        0.6942             nan     0.1000   -0.0006
   480        0.6911             nan     0.1000   -0.0010
   500        0.6876             nan     0.1000   -0.0010
   520        0.6848             nan     0.1000   -0.0011
   540        0.6824             nan     0.1000   -0.0006
   560        0.6783             nan     0.1000   -0.0004
   580        0.6754             nan     0.1000   -0.0003
   600        0.6735             nan     0.1000   -0.0006
   620        0.6713             nan     0.1000   -0.0011
   640        0.6689             nan     0.1000   -0.0003
   660        0.6664             nan     0.1000   -0.0008
   680        0.6636             nan     0.1000   -0.0012
   700        0.6612             nan     0.1000   -0.0009
   720        0.6581             nan     0.1000   -0.0006
   740        0.6572             nan     0.1000   -0.0005
   760        0.6556             nan     0.1000   -0.0006
   780        0.6539             nan     0.1000   -0.0007
   800        0.6523             nan     0.1000   -0.0009
   820        0.6513             nan     0.1000   -0.0011
   840        0.6495             nan     0.1000   -0.0006
   860        0.6488             nan     0.1000   -0.0007
   880        0.6473             nan     0.1000   -0.0008
   900        0.6460             nan     0.1000   -0.0014
   920        0.6448             nan     0.1000   -0.0010
   940        0.6433             nan     0.1000   -0.0010
   960        0.6421             nan     0.1000   -0.0009
   980        0.6402             nan     0.1000   -0.0008
  1000        0.6399             nan     0.1000   -0.0015
  1020        0.6389             nan     0.1000   -0.0006
  1040        0.6373             nan     0.1000   -0.0007
  1060        0.6357             nan     0.1000   -0.0005
  1080        0.6345             nan     0.1000   -0.0012
  1100        0.6330             nan     0.1000   -0.0003

- Fold07.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2511             nan     0.1000    0.0352
     2        1.1947             nan     0.1000    0.0300
     3        1.1390             nan     0.1000    0.0226
     4        1.0988             nan     0.1000    0.0174
     5        1.0634             nan     0.1000    0.0166
     6        1.0352             nan     0.1000    0.0144
     7        1.0092             nan     0.1000    0.0132
     8        0.9856             nan     0.1000    0.0109
     9        0.9660             nan     0.1000    0.0089
    10        0.9472             nan     0.1000    0.0083
    20        0.8497             nan     0.1000    0.0015
    40        0.7814             nan     0.1000    0.0012
    60        0.7476             nan     0.1000   -0.0010
    80        0.7192             nan     0.1000   -0.0007
   100        0.6967             nan     0.1000   -0.0004
   120        0.6813             nan     0.1000   -0.0011
   140        0.6696             nan     0.1000   -0.0014
   160        0.6558             nan     0.1000   -0.0009
   180        0.6425             nan     0.1000   -0.0008
   200        0.6289             nan     0.1000   -0.0013
   220        0.6178             nan     0.1000   -0.0011
   240        0.6072             nan     0.1000   -0.0018
   260        0.5944             nan     0.1000   -0.0008
   280        0.5850             nan     0.1000   -0.0002
   300        0.5763             nan     0.1000   -0.0005
   320        0.5672             nan     0.1000   -0.0004
   340        0.5625             nan     0.1000   -0.0018
   360        0.5574             nan     0.1000   -0.0004
   380        0.5497             nan     0.1000   -0.0009
   400        0.5444             nan     0.1000   -0.0004
   420        0.5371             nan     0.1000   -0.0014
   440        0.5309             nan     0.1000   -0.0009
   460        0.5254             nan     0.1000   -0.0017
   480        0.5197             nan     0.1000   -0.0012
   500        0.5146             nan     0.1000   -0.0006
   520        0.5078             nan     0.1000   -0.0003
   540        0.5038             nan     0.1000   -0.0006
   560        0.4981             nan     0.1000   -0.0004
   580        0.4934             nan     0.1000   -0.0007
   600        0.4882             nan     0.1000   -0.0006
   620        0.4839             nan     0.1000   -0.0005
   640        0.4797             nan     0.1000   -0.0006
   660        0.4754             nan     0.1000   -0.0007
   680        0.4707             nan     0.1000   -0.0011
   700        0.4670             nan     0.1000   -0.0010
   720        0.4616             nan     0.1000   -0.0009
   740        0.4574             nan     0.1000   -0.0006
   760        0.4533             nan     0.1000   -0.0015
   780        0.4455             nan     0.1000   -0.0010
   800        0.4413             nan     0.1000   -0.0005
   820        0.4360             nan     0.1000   -0.0012
   840        0.4317             nan     0.1000   -0.0003
   860        0.4293             nan     0.1000   -0.0010
   880        0.4254             nan     0.1000   -0.0007
   900        0.4221             nan     0.1000   -0.0009
   920        0.4185             nan     0.1000   -0.0007
   940        0.4146             nan     0.1000   -0.0013
   960        0.4111             nan     0.1000   -0.0016
   980        0.4081             nan     0.1000   -0.0016
  1000        0.4060             nan     0.1000   -0.0014
  1020        0.4021             nan     0.1000   -0.0010
  1040        0.3981             nan     0.1000   -0.0006
  1060        0.3951             nan     0.1000   -0.0002
  1080        0.3926             nan     0.1000   -0.0009
  1100        0.3903             nan     0.1000   -0.0011

- Fold07.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2474             nan     0.1000    0.0385
     2        1.1788             nan     0.1000    0.0343
     3        1.1258             nan     0.1000    0.0250
     4        1.0770             nan     0.1000    0.0194
     5        1.0380             nan     0.1000    0.0174
     6        1.0036             nan     0.1000    0.0126
     7        0.9734             nan     0.1000    0.0141
     8        0.9497             nan     0.1000    0.0108
     9        0.9283             nan     0.1000    0.0079
    10        0.9092             nan     0.1000    0.0096
    20        0.8136             nan     0.1000    0.0036
    40        0.7407             nan     0.1000   -0.0005
    60        0.6987             nan     0.1000   -0.0008
    80        0.6681             nan     0.1000   -0.0007
   100        0.6410             nan     0.1000   -0.0016
   120        0.6216             nan     0.1000   -0.0006
   140        0.6000             nan     0.1000   -0.0010
   160        0.5829             nan     0.1000   -0.0014
   180        0.5641             nan     0.1000   -0.0020
   200        0.5490             nan     0.1000   -0.0006
   220        0.5352             nan     0.1000   -0.0011
   240        0.5232             nan     0.1000   -0.0004
   260        0.5076             nan     0.1000   -0.0005
   280        0.4968             nan     0.1000   -0.0008
   300        0.4876             nan     0.1000   -0.0010
   320        0.4744             nan     0.1000   -0.0016
   340        0.4621             nan     0.1000   -0.0015
   360        0.4531             nan     0.1000   -0.0010
   380        0.4457             nan     0.1000   -0.0012
   400        0.4369             nan     0.1000   -0.0010
   420        0.4280             nan     0.1000   -0.0015
   440        0.4190             nan     0.1000   -0.0009
   460        0.4107             nan     0.1000   -0.0007
   480        0.4029             nan     0.1000   -0.0015
   500        0.3952             nan     0.1000   -0.0011
   520        0.3871             nan     0.1000   -0.0012
   540        0.3823             nan     0.1000   -0.0014
   560        0.3769             nan     0.1000   -0.0007
   580        0.3701             nan     0.1000   -0.0008
   600        0.3640             nan     0.1000   -0.0012
   620        0.3590             nan     0.1000   -0.0007
   640        0.3526             nan     0.1000   -0.0016
   660        0.3471             nan     0.1000   -0.0010
   680        0.3416             nan     0.1000   -0.0011
   700        0.3355             nan     0.1000   -0.0007
   720        0.3266             nan     0.1000   -0.0007
   740        0.3225             nan     0.1000   -0.0006
   760        0.3183             nan     0.1000   -0.0007
   780        0.3127             nan     0.1000   -0.0007
   800        0.3083             nan     0.1000   -0.0005
   820        0.3044             nan     0.1000   -0.0009
   840        0.2995             nan     0.1000   -0.0016
   860        0.2935             nan     0.1000   -0.0006
   880        0.2900             nan     0.1000   -0.0005
   900        0.2869             nan     0.1000   -0.0006
   920        0.2844             nan     0.1000   -0.0010
   940        0.2817             nan     0.1000   -0.0007
   960        0.2785             nan     0.1000   -0.0005
   980        0.2747             nan     0.1000   -0.0014
  1000        0.2711             nan     0.1000   -0.0005
  1020        0.2692             nan     0.1000   -0.0016
  1040        0.2659             nan     0.1000   -0.0003
  1060        0.2621             nan     0.1000   -0.0008
  1080        0.2580             nan     0.1000   -0.0006
  1100        0.2552             nan     0.1000   -0.0006

- Fold07.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3259             nan     0.0100    0.0030
     2        1.3199             nan     0.0100    0.0030
     3        1.3137             nan     0.0100    0.0029
     4        1.3075             nan     0.0100    0.0029
     5        1.3016             nan     0.0100    0.0028
     6        1.2963             nan     0.0100    0.0028
     7        1.2910             nan     0.0100    0.0027
     8        1.2856             nan     0.0100    0.0027
     9        1.2791             nan     0.0100    0.0027
    10        1.2739             nan     0.0100    0.0026
    20        1.2257             nan     0.0100    0.0021
    40        1.1550             nan     0.0100    0.0015
    60        1.1050             nan     0.0100    0.0011
    80        1.0663             nan     0.0100    0.0007
   100        1.0353             nan     0.0100    0.0006
   120        1.0103             nan     0.0100    0.0005
   140        0.9886             nan     0.0100    0.0003
   160        0.9705             nan     0.0100    0.0004
   180        0.9551             nan     0.0100    0.0003
   200        0.9415             nan     0.0100    0.0002
   220        0.9290             nan     0.0100    0.0002
   240        0.9175             nan     0.0100    0.0002
   260        0.9077             nan     0.0100    0.0002
   280        0.8986             nan     0.0100    0.0002
   300        0.8910             nan     0.0100    0.0000
   320        0.8839             nan     0.0100    0.0001
   340        0.8770             nan     0.0100    0.0001
   360        0.8707             nan     0.0100    0.0001
   380        0.8655             nan     0.0100    0.0000
   400        0.8596             nan     0.0100    0.0001
   420        0.8549             nan     0.0100    0.0000
   440        0.8500             nan     0.0100    0.0000
   460        0.8456             nan     0.0100   -0.0000
   480        0.8413             nan     0.0100    0.0001
   500        0.8370             nan     0.0100   -0.0000
   520        0.8332             nan     0.0100   -0.0001
   540        0.8293             nan     0.0100    0.0001
   560        0.8256             nan     0.0100    0.0000
   580        0.8223             nan     0.0100    0.0001
   600        0.8189             nan     0.0100   -0.0000
   620        0.8156             nan     0.0100   -0.0000
   640        0.8124             nan     0.0100   -0.0001
   660        0.8097             nan     0.0100   -0.0001
   680        0.8072             nan     0.0100   -0.0000
   700        0.8047             nan     0.0100    0.0000
   720        0.8024             nan     0.0100    0.0000
   740        0.8000             nan     0.0100   -0.0000
   760        0.7978             nan     0.0100   -0.0001
   780        0.7956             nan     0.0100   -0.0000
   800        0.7933             nan     0.0100    0.0000
   820        0.7914             nan     0.0100    0.0000
   840        0.7891             nan     0.0100   -0.0001
   860        0.7872             nan     0.0100   -0.0001
   880        0.7854             nan     0.0100   -0.0000
   900        0.7834             nan     0.0100   -0.0001
   920        0.7814             nan     0.0100   -0.0000
   940        0.7795             nan     0.0100   -0.0001
   960        0.7781             nan     0.0100   -0.0001
   980        0.7767             nan     0.0100    0.0000
  1000        0.7751             nan     0.0100   -0.0000
  1020        0.7735             nan     0.0100   -0.0001
  1040        0.7719             nan     0.0100   -0.0001
  1060        0.7703             nan     0.0100   -0.0001
  1080        0.7689             nan     0.0100   -0.0000
  1100        0.7676             nan     0.0100   -0.0001

- Fold08.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3241             nan     0.0100    0.0038
     2        1.3168             nan     0.0100    0.0034
     3        1.3095             nan     0.0100    0.0037
     4        1.3020             nan     0.0100    0.0036
     5        1.2952             nan     0.0100    0.0034
     6        1.2886             nan     0.0100    0.0034
     7        1.2816             nan     0.0100    0.0035
     8        1.2744             nan     0.0100    0.0032
     9        1.2680             nan     0.0100    0.0034
    10        1.2620             nan     0.0100    0.0030
    20        1.2047             nan     0.0100    0.0024
    40        1.1138             nan     0.0100    0.0020
    60        1.0469             nan     0.0100    0.0012
    80        0.9978             nan     0.0100    0.0011
   100        0.9603             nan     0.0100    0.0008
   120        0.9306             nan     0.0100    0.0004
   140        0.9058             nan     0.0100    0.0004
   160        0.8866             nan     0.0100    0.0002
   180        0.8699             nan     0.0100    0.0003
   200        0.8562             nan     0.0100    0.0003
   220        0.8443             nan     0.0100    0.0003
   240        0.8330             nan     0.0100    0.0001
   260        0.8236             nan     0.0100   -0.0000
   280        0.8157             nan     0.0100    0.0002
   300        0.8083             nan     0.0100    0.0001
   320        0.8019             nan     0.0100    0.0000
   340        0.7952             nan     0.0100    0.0000
   360        0.7885             nan     0.0100    0.0000
   380        0.7832             nan     0.0100   -0.0000
   400        0.7774             nan     0.0100    0.0000
   420        0.7721             nan     0.0100    0.0001
   440        0.7673             nan     0.0100    0.0000
   460        0.7631             nan     0.0100   -0.0001
   480        0.7587             nan     0.0100   -0.0000
   500        0.7550             nan     0.0100    0.0001
   520        0.7508             nan     0.0100   -0.0000
   540        0.7472             nan     0.0100   -0.0001
   560        0.7438             nan     0.0100    0.0001
   580        0.7402             nan     0.0100    0.0000
   600        0.7369             nan     0.0100   -0.0000
   620        0.7332             nan     0.0100   -0.0000
   640        0.7303             nan     0.0100   -0.0000
   660        0.7275             nan     0.0100   -0.0002
   680        0.7246             nan     0.0100   -0.0000
   700        0.7218             nan     0.0100   -0.0001
   720        0.7189             nan     0.0100   -0.0001
   740        0.7163             nan     0.0100   -0.0000
   760        0.7139             nan     0.0100   -0.0001
   780        0.7111             nan     0.0100   -0.0001
   800        0.7088             nan     0.0100   -0.0001
   820        0.7064             nan     0.0100   -0.0002
   840        0.7043             nan     0.0100   -0.0001
   860        0.7019             nan     0.0100   -0.0000
   880        0.6999             nan     0.0100   -0.0000
   900        0.6976             nan     0.0100   -0.0001
   920        0.6954             nan     0.0100   -0.0001
   940        0.6933             nan     0.0100   -0.0002
   960        0.6911             nan     0.0100   -0.0000
   980        0.6894             nan     0.0100   -0.0001
  1000        0.6875             nan     0.0100   -0.0001
  1020        0.6858             nan     0.0100   -0.0000
  1040        0.6842             nan     0.0100   -0.0000
  1060        0.6824             nan     0.0100   -0.0002
  1080        0.6805             nan     0.0100   -0.0001
  1100        0.6786             nan     0.0100   -0.0000

- Fold08.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3242             nan     0.0100    0.0041
     2        1.3160             nan     0.0100    0.0041
     3        1.3076             nan     0.0100    0.0041
     4        1.2996             nan     0.0100    0.0037
     5        1.2918             nan     0.0100    0.0034
     6        1.2849             nan     0.0100    0.0037
     7        1.2776             nan     0.0100    0.0032
     8        1.2704             nan     0.0100    0.0036
     9        1.2627             nan     0.0100    0.0032
    10        1.2555             nan     0.0100    0.0035
    20        1.1912             nan     0.0100    0.0029
    40        1.0931             nan     0.0100    0.0022
    60        1.0192             nan     0.0100    0.0014
    80        0.9655             nan     0.0100    0.0008
   100        0.9245             nan     0.0100    0.0008
   120        0.8940             nan     0.0100    0.0005
   140        0.8686             nan     0.0100    0.0004
   160        0.8486             nan     0.0100    0.0003
   180        0.8324             nan     0.0100    0.0001
   200        0.8175             nan     0.0100    0.0002
   220        0.8040             nan     0.0100    0.0000
   240        0.7926             nan     0.0100    0.0001
   260        0.7823             nan     0.0100    0.0002
   280        0.7734             nan     0.0100    0.0000
   300        0.7653             nan     0.0100    0.0000
   320        0.7574             nan     0.0100   -0.0000
   340        0.7510             nan     0.0100   -0.0001
   360        0.7444             nan     0.0100   -0.0001
   380        0.7385             nan     0.0100   -0.0000
   400        0.7325             nan     0.0100   -0.0001
   420        0.7272             nan     0.0100   -0.0000
   440        0.7224             nan     0.0100   -0.0000
   460        0.7176             nan     0.0100   -0.0001
   480        0.7138             nan     0.0100   -0.0000
   500        0.7092             nan     0.0100   -0.0002
   520        0.7048             nan     0.0100   -0.0000
   540        0.7003             nan     0.0100   -0.0001
   560        0.6964             nan     0.0100    0.0000
   580        0.6926             nan     0.0100   -0.0001
   600        0.6893             nan     0.0100   -0.0001
   620        0.6853             nan     0.0100   -0.0002
   640        0.6818             nan     0.0100    0.0000
   660        0.6785             nan     0.0100   -0.0000
   680        0.6755             nan     0.0100   -0.0000
   700        0.6718             nan     0.0100    0.0000
   720        0.6686             nan     0.0100   -0.0000
   740        0.6655             nan     0.0100   -0.0001
   760        0.6624             nan     0.0100   -0.0001
   780        0.6592             nan     0.0100   -0.0000
   800        0.6565             nan     0.0100   -0.0002
   820        0.6536             nan     0.0100   -0.0001
   840        0.6510             nan     0.0100   -0.0001
   860        0.6480             nan     0.0100   -0.0001
   880        0.6452             nan     0.0100   -0.0001
   900        0.6422             nan     0.0100   -0.0001
   920        0.6393             nan     0.0100   -0.0001
   940        0.6368             nan     0.0100   -0.0002
   960        0.6343             nan     0.0100   -0.0001
   980        0.6321             nan     0.0100   -0.0001
  1000        0.6296             nan     0.0100   -0.0001
  1020        0.6273             nan     0.0100   -0.0001
  1040        0.6252             nan     0.0100   -0.0001
  1060        0.6230             nan     0.0100   -0.0001
  1080        0.6205             nan     0.0100   -0.0001
  1100        0.6180             nan     0.0100   -0.0001

- Fold08.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2761             nan     0.1000    0.0294
     2        1.2276             nan     0.1000    0.0232
     3        1.1875             nan     0.1000    0.0204
     4        1.1550             nan     0.1000    0.0170
     5        1.1289             nan     0.1000    0.0140
     6        1.1114             nan     0.1000    0.0078
     7        1.0904             nan     0.1000    0.0113
     8        1.0698             nan     0.1000    0.0095
     9        1.0543             nan     0.1000    0.0083
    10        1.0394             nan     0.1000    0.0071
    20        0.9376             nan     0.1000    0.0033
    40        0.8587             nan     0.1000    0.0000
    60        0.8186             nan     0.1000   -0.0011
    80        0.7949             nan     0.1000   -0.0003
   100        0.7764             nan     0.1000   -0.0011
   120        0.7632             nan     0.1000   -0.0004
   140        0.7537             nan     0.1000   -0.0004
   160        0.7443             nan     0.1000   -0.0006
   180        0.7341             nan     0.1000   -0.0011
   200        0.7266             nan     0.1000   -0.0012
   220        0.7219             nan     0.1000   -0.0008
   240        0.7162             nan     0.1000   -0.0003
   260        0.7113             nan     0.1000   -0.0002
   280        0.7071             nan     0.1000   -0.0009
   300        0.7020             nan     0.1000   -0.0011
   320        0.6976             nan     0.1000   -0.0010
   340        0.6931             nan     0.1000   -0.0015
   360        0.6896             nan     0.1000   -0.0007
   380        0.6851             nan     0.1000   -0.0013
   400        0.6823             nan     0.1000   -0.0006
   420        0.6800             nan     0.1000   -0.0008
   440        0.6764             nan     0.1000   -0.0008
   460        0.6729             nan     0.1000   -0.0008
   480        0.6709             nan     0.1000   -0.0004
   500        0.6680             nan     0.1000   -0.0007
   520        0.6650             nan     0.1000   -0.0008
   540        0.6624             nan     0.1000   -0.0006
   560        0.6605             nan     0.1000   -0.0006
   580        0.6594             nan     0.1000   -0.0010
   600        0.6568             nan     0.1000   -0.0010
   620        0.6551             nan     0.1000   -0.0010
   640        0.6532             nan     0.1000   -0.0009
   660        0.6493             nan     0.1000   -0.0011
   680        0.6472             nan     0.1000   -0.0008
   700        0.6455             nan     0.1000   -0.0013
   720        0.6439             nan     0.1000   -0.0007
   740        0.6436             nan     0.1000   -0.0003
   760        0.6413             nan     0.1000   -0.0005
   780        0.6390             nan     0.1000   -0.0006
   800        0.6377             nan     0.1000   -0.0007
   820        0.6354             nan     0.1000   -0.0007
   840        0.6330             nan     0.1000   -0.0003
   860        0.6317             nan     0.1000   -0.0004
   880        0.6303             nan     0.1000   -0.0012
   900        0.6290             nan     0.1000   -0.0003
   920        0.6276             nan     0.1000   -0.0008
   940        0.6253             nan     0.1000   -0.0009
   960        0.6242             nan     0.1000   -0.0004
   980        0.6227             nan     0.1000   -0.0007
  1000        0.6223             nan     0.1000   -0.0006
  1020        0.6214             nan     0.1000   -0.0006
  1040        0.6194             nan     0.1000   -0.0005
  1060        0.6179             nan     0.1000   -0.0005
  1080        0.6165             nan     0.1000   -0.0006
  1100        0.6140             nan     0.1000   -0.0005

- Fold08.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2543             nan     0.1000    0.0347
     2        1.1960             nan     0.1000    0.0274
     3        1.1435             nan     0.1000    0.0248
     4        1.1018             nan     0.1000    0.0194
     5        1.0646             nan     0.1000    0.0160
     6        1.0315             nan     0.1000    0.0132
     7        1.0038             nan     0.1000    0.0124
     8        0.9831             nan     0.1000    0.0094
     9        0.9640             nan     0.1000    0.0091
    10        0.9492             nan     0.1000    0.0053
    20        0.8500             nan     0.1000    0.0019
    40        0.7759             nan     0.1000    0.0004
    60        0.7421             nan     0.1000    0.0001
    80        0.7139             nan     0.1000   -0.0015
   100        0.6909             nan     0.1000   -0.0012
   120        0.6709             nan     0.1000   -0.0005
   140        0.6566             nan     0.1000   -0.0015
   160        0.6434             nan     0.1000   -0.0011
   180        0.6313             nan     0.1000   -0.0009
   200        0.6189             nan     0.1000   -0.0004
   220        0.6078             nan     0.1000   -0.0013
   240        0.5968             nan     0.1000   -0.0007
   260        0.5852             nan     0.1000   -0.0005
   280        0.5770             nan     0.1000   -0.0015
   300        0.5703             nan     0.1000   -0.0007
   320        0.5616             nan     0.1000   -0.0008
   340        0.5531             nan     0.1000   -0.0019
   360        0.5465             nan     0.1000   -0.0013
   380        0.5380             nan     0.1000   -0.0008
   400        0.5301             nan     0.1000   -0.0009
   420        0.5196             nan     0.1000    0.0000
   440        0.5124             nan     0.1000   -0.0009
   460        0.5076             nan     0.1000   -0.0014
   480        0.5017             nan     0.1000   -0.0010
   500        0.4964             nan     0.1000   -0.0014
   520        0.4918             nan     0.1000   -0.0003
   540        0.4836             nan     0.1000   -0.0004
   560        0.4781             nan     0.1000   -0.0017
   580        0.4743             nan     0.1000   -0.0002
   600        0.4707             nan     0.1000   -0.0005
   620        0.4650             nan     0.1000   -0.0003
   640        0.4619             nan     0.1000   -0.0010
   660        0.4572             nan     0.1000   -0.0008
   680        0.4562             nan     0.1000   -0.0007
   700        0.4517             nan     0.1000   -0.0014
   720        0.4470             nan     0.1000   -0.0005
   740        0.4441             nan     0.1000   -0.0005
   760        0.4406             nan     0.1000   -0.0005
   780        0.4353             nan     0.1000   -0.0007
   800        0.4323             nan     0.1000   -0.0006
   820        0.4283             nan     0.1000   -0.0014
   840        0.4257             nan     0.1000   -0.0017
   860        0.4229             nan     0.1000   -0.0013
   880        0.4193             nan     0.1000   -0.0007
   900        0.4155             nan     0.1000   -0.0012
   920        0.4116             nan     0.1000   -0.0008
   940        0.4074             nan     0.1000   -0.0007
   960        0.4046             nan     0.1000   -0.0004
   980        0.4011             nan     0.1000   -0.0005
  1000        0.3988             nan     0.1000   -0.0013
  1020        0.3947             nan     0.1000   -0.0006
  1040        0.3911             nan     0.1000   -0.0006
  1060        0.3880             nan     0.1000   -0.0010
  1080        0.3858             nan     0.1000   -0.0005
  1100        0.3822             nan     0.1000   -0.0004

- Fold08.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2495             nan     0.1000    0.0365
     2        1.1874             nan     0.1000    0.0285
     3        1.1341             nan     0.1000    0.0261
     4        1.0853             nan     0.1000    0.0208
     5        1.0496             nan     0.1000    0.0191
     6        1.0151             nan     0.1000    0.0173
     7        0.9852             nan     0.1000    0.0146
     8        0.9592             nan     0.1000    0.0112
     9        0.9384             nan     0.1000    0.0071
    10        0.9211             nan     0.1000    0.0085
    20        0.8200             nan     0.1000    0.0010
    40        0.7384             nan     0.1000   -0.0007
    60        0.6913             nan     0.1000   -0.0012
    80        0.6573             nan     0.1000   -0.0014
   100        0.6279             nan     0.1000   -0.0018
   120        0.6049             nan     0.1000   -0.0007
   140        0.5820             nan     0.1000   -0.0029
   160        0.5670             nan     0.1000   -0.0015
   180        0.5527             nan     0.1000   -0.0017
   200        0.5378             nan     0.1000   -0.0017
   220        0.5231             nan     0.1000   -0.0012
   240        0.5127             nan     0.1000   -0.0018
   260        0.5019             nan     0.1000   -0.0005
   280        0.4924             nan     0.1000   -0.0025
   300        0.4833             nan     0.1000   -0.0002
   320        0.4715             nan     0.1000   -0.0010
   340        0.4612             nan     0.1000   -0.0006
   360        0.4526             nan     0.1000   -0.0014
   380        0.4440             nan     0.1000   -0.0016
   400        0.4338             nan     0.1000   -0.0013
   420        0.4244             nan     0.1000   -0.0014
   440        0.4149             nan     0.1000   -0.0008
   460        0.4076             nan     0.1000   -0.0017
   480        0.4008             nan     0.1000   -0.0012
   500        0.3926             nan     0.1000   -0.0005
   520        0.3866             nan     0.1000   -0.0012
   540        0.3804             nan     0.1000   -0.0006
   560        0.3737             nan     0.1000   -0.0009
   580        0.3698             nan     0.1000   -0.0018
   600        0.3637             nan     0.1000   -0.0008
   620        0.3588             nan     0.1000   -0.0014
   640        0.3518             nan     0.1000   -0.0013
   660        0.3486             nan     0.1000   -0.0009
   680        0.3440             nan     0.1000   -0.0010
   700        0.3391             nan     0.1000   -0.0013
   720        0.3342             nan     0.1000   -0.0013
   740        0.3294             nan     0.1000   -0.0015
   760        0.3248             nan     0.1000   -0.0011
   780        0.3192             nan     0.1000   -0.0009
   800        0.3151             nan     0.1000   -0.0012
   820        0.3114             nan     0.1000   -0.0008
   840        0.3087             nan     0.1000   -0.0006
   860        0.3055             nan     0.1000   -0.0017
   880        0.3001             nan     0.1000   -0.0008
   900        0.2956             nan     0.1000   -0.0011
   920        0.2917             nan     0.1000   -0.0011
   940        0.2873             nan     0.1000   -0.0014
   960        0.2840             nan     0.1000   -0.0005
   980        0.2800             nan     0.1000   -0.0005
  1000        0.2766             nan     0.1000   -0.0011
  1020        0.2732             nan     0.1000   -0.0006
  1040        0.2698             nan     0.1000   -0.0009
  1060        0.2667             nan     0.1000   -0.0009
  1080        0.2639             nan     0.1000   -0.0011
  1100        0.2608             nan     0.1000   -0.0011

- Fold08.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3269             nan     0.0100    0.0028
     2        1.3206             nan     0.0100    0.0029
     3        1.3144             nan     0.0100    0.0029
     4        1.3085             nan     0.0100    0.0028
     5        1.3026             nan     0.0100    0.0027
     6        1.2968             nan     0.0100    0.0026
     7        1.2916             nan     0.0100    0.0026
     8        1.2866             nan     0.0100    0.0025
     9        1.2813             nan     0.0100    0.0025
    10        1.2760             nan     0.0100    0.0025
    20        1.2321             nan     0.0100    0.0019
    40        1.1649             nan     0.0100    0.0014
    60        1.1177             nan     0.0100    0.0010
    80        1.0824             nan     0.0100    0.0007
   100        1.0539             nan     0.0100    0.0006
   120        1.0301             nan     0.0100    0.0004
   140        1.0107             nan     0.0100    0.0004
   160        0.9941             nan     0.0100    0.0003
   180        0.9796             nan     0.0100    0.0003
   200        0.9671             nan     0.0100    0.0001
   220        0.9562             nan     0.0100    0.0002
   240        0.9456             nan     0.0100    0.0002
   260        0.9361             nan     0.0100    0.0002
   280        0.9276             nan     0.0100    0.0001
   300        0.9202             nan     0.0100    0.0001
   320        0.9134             nan     0.0100    0.0001
   340        0.9074             nan     0.0100    0.0001
   360        0.9009             nan     0.0100    0.0001
   380        0.8957             nan     0.0100    0.0001
   400        0.8909             nan     0.0100    0.0000
   420        0.8861             nan     0.0100    0.0001
   440        0.8815             nan     0.0100    0.0000
   460        0.8772             nan     0.0100    0.0000
   480        0.8730             nan     0.0100    0.0000
   500        0.8691             nan     0.0100   -0.0000
   520        0.8654             nan     0.0100   -0.0000
   540        0.8617             nan     0.0100    0.0000
   560        0.8585             nan     0.0100    0.0000
   580        0.8553             nan     0.0100    0.0000
   600        0.8525             nan     0.0100   -0.0000
   620        0.8498             nan     0.0100   -0.0000
   640        0.8468             nan     0.0100    0.0000
   660        0.8441             nan     0.0100   -0.0000
   680        0.8414             nan     0.0100   -0.0001
   700        0.8390             nan     0.0100   -0.0001
   720        0.8364             nan     0.0100   -0.0000
   740        0.8342             nan     0.0100   -0.0000
   760        0.8319             nan     0.0100    0.0000
   780        0.8297             nan     0.0100   -0.0001
   800        0.8279             nan     0.0100   -0.0000
   820        0.8256             nan     0.0100   -0.0000
   840        0.8236             nan     0.0100    0.0000
   860        0.8215             nan     0.0100   -0.0001
   880        0.8196             nan     0.0100   -0.0000
   900        0.8178             nan     0.0100   -0.0000
   920        0.8162             nan     0.0100   -0.0001
   940        0.8146             nan     0.0100   -0.0000
   960        0.8130             nan     0.0100   -0.0001
   980        0.8114             nan     0.0100   -0.0001
  1000        0.8099             nan     0.0100   -0.0001
  1020        0.8082             nan     0.0100   -0.0001
  1040        0.8068             nan     0.0100   -0.0000
  1060        0.8054             nan     0.0100    0.0000
  1080        0.8040             nan     0.0100   -0.0001
  1100        0.8027             nan     0.0100   -0.0000

- Fold09.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3249             nan     0.0100    0.0034
     2        1.3172             nan     0.0100    0.0033
     3        1.3097             nan     0.0100    0.0035
     4        1.3025             nan     0.0100    0.0033
     5        1.2960             nan     0.0100    0.0033
     6        1.2892             nan     0.0100    0.0032
     7        1.2828             nan     0.0100    0.0028
     8        1.2763             nan     0.0100    0.0031
     9        1.2709             nan     0.0100    0.0027
    10        1.2646             nan     0.0100    0.0030
    20        1.2100             nan     0.0100    0.0025
    40        1.1249             nan     0.0100    0.0018
    60        1.0621             nan     0.0100    0.0013
    80        1.0159             nan     0.0100    0.0009
   100        0.9811             nan     0.0100    0.0006
   120        0.9546             nan     0.0100    0.0004
   140        0.9333             nan     0.0100    0.0004
   160        0.9157             nan     0.0100    0.0003
   180        0.9006             nan     0.0100    0.0001
   200        0.8876             nan     0.0100    0.0002
   220        0.8763             nan     0.0100    0.0002
   240        0.8659             nan     0.0100    0.0002
   260        0.8568             nan     0.0100    0.0001
   280        0.8476             nan     0.0100    0.0001
   300        0.8395             nan     0.0100    0.0002
   320        0.8326             nan     0.0100    0.0001
   340        0.8257             nan     0.0100    0.0002
   360        0.8196             nan     0.0100    0.0000
   380        0.8139             nan     0.0100   -0.0000
   400        0.8085             nan     0.0100   -0.0000
   420        0.8036             nan     0.0100   -0.0000
   440        0.7987             nan     0.0100   -0.0000
   460        0.7940             nan     0.0100    0.0001
   480        0.7897             nan     0.0100   -0.0002
   500        0.7855             nan     0.0100   -0.0000
   520        0.7821             nan     0.0100   -0.0001
   540        0.7781             nan     0.0100   -0.0000
   560        0.7744             nan     0.0100   -0.0001
   580        0.7708             nan     0.0100   -0.0000
   600        0.7677             nan     0.0100   -0.0000
   620        0.7641             nan     0.0100   -0.0001
   640        0.7608             nan     0.0100   -0.0001
   660        0.7582             nan     0.0100   -0.0001
   680        0.7551             nan     0.0100   -0.0001
   700        0.7529             nan     0.0100   -0.0001
   720        0.7509             nan     0.0100   -0.0001
   740        0.7485             nan     0.0100   -0.0000
   760        0.7458             nan     0.0100   -0.0001
   780        0.7433             nan     0.0100   -0.0000
   800        0.7413             nan     0.0100   -0.0000
   820        0.7393             nan     0.0100   -0.0000
   840        0.7369             nan     0.0100    0.0000
   860        0.7347             nan     0.0100   -0.0001
   880        0.7330             nan     0.0100   -0.0001
   900        0.7309             nan     0.0100   -0.0000
   920        0.7288             nan     0.0100   -0.0001
   940        0.7266             nan     0.0100   -0.0001
   960        0.7243             nan     0.0100   -0.0001
   980        0.7224             nan     0.0100   -0.0000
  1000        0.7206             nan     0.0100   -0.0002
  1020        0.7188             nan     0.0100   -0.0001
  1040        0.7169             nan     0.0100   -0.0001
  1060        0.7150             nan     0.0100   -0.0000
  1080        0.7135             nan     0.0100   -0.0000
  1100        0.7114             nan     0.0100   -0.0000

- Fold09.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3236             nan     0.0100    0.0038
     2        1.3158             nan     0.0100    0.0038
     3        1.3079             nan     0.0100    0.0039
     4        1.3010             nan     0.0100    0.0036
     5        1.2935             nan     0.0100    0.0035
     6        1.2863             nan     0.0100    0.0036
     7        1.2790             nan     0.0100    0.0032
     8        1.2722             nan     0.0100    0.0033
     9        1.2652             nan     0.0100    0.0033
    10        1.2590             nan     0.0100    0.0032
    20        1.1986             nan     0.0100    0.0027
    40        1.1039             nan     0.0100    0.0019
    60        1.0361             nan     0.0100    0.0014
    80        0.9863             nan     0.0100    0.0010
   100        0.9471             nan     0.0100    0.0006
   120        0.9169             nan     0.0100    0.0005
   140        0.8917             nan     0.0100    0.0004
   160        0.8722             nan     0.0100    0.0003
   180        0.8567             nan     0.0100    0.0003
   200        0.8434             nan     0.0100    0.0001
   220        0.8310             nan     0.0100    0.0001
   240        0.8204             nan     0.0100    0.0001
   260        0.8112             nan     0.0100   -0.0000
   280        0.8022             nan     0.0100    0.0001
   300        0.7944             nan     0.0100   -0.0001
   320        0.7872             nan     0.0100   -0.0001
   340        0.7807             nan     0.0100   -0.0001
   360        0.7745             nan     0.0100   -0.0002
   380        0.7683             nan     0.0100   -0.0000
   400        0.7628             nan     0.0100   -0.0001
   420        0.7584             nan     0.0100   -0.0000
   440        0.7531             nan     0.0100   -0.0000
   460        0.7485             nan     0.0100   -0.0000
   480        0.7441             nan     0.0100    0.0000
   500        0.7398             nan     0.0100    0.0001
   520        0.7359             nan     0.0100   -0.0001
   540        0.7321             nan     0.0100   -0.0000
   560        0.7284             nan     0.0100   -0.0001
   580        0.7248             nan     0.0100   -0.0001
   600        0.7207             nan     0.0100   -0.0001
   620        0.7169             nan     0.0100   -0.0001
   640        0.7126             nan     0.0100   -0.0002
   660        0.7091             nan     0.0100   -0.0001
   680        0.7056             nan     0.0100   -0.0001
   700        0.7026             nan     0.0100   -0.0002
   720        0.6994             nan     0.0100   -0.0001
   740        0.6966             nan     0.0100   -0.0002
   760        0.6938             nan     0.0100   -0.0001
   780        0.6910             nan     0.0100   -0.0001
   800        0.6875             nan     0.0100   -0.0000
   820        0.6846             nan     0.0100   -0.0001
   840        0.6819             nan     0.0100   -0.0001
   860        0.6791             nan     0.0100   -0.0001
   880        0.6762             nan     0.0100   -0.0001
   900        0.6738             nan     0.0100   -0.0000
   920        0.6711             nan     0.0100   -0.0002
   940        0.6682             nan     0.0100   -0.0001
   960        0.6659             nan     0.0100   -0.0000
   980        0.6632             nan     0.0100   -0.0000
  1000        0.6607             nan     0.0100   -0.0001
  1020        0.6586             nan     0.0100   -0.0001
  1040        0.6558             nan     0.0100   -0.0001
  1060        0.6530             nan     0.0100   -0.0002
  1080        0.6508             nan     0.0100   -0.0001
  1100        0.6488             nan     0.0100   -0.0001

- Fold09.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2756             nan     0.1000    0.0281
     2        1.2300             nan     0.1000    0.0228
     3        1.1925             nan     0.1000    0.0177
     4        1.1652             nan     0.1000    0.0149
     5        1.1397             nan     0.1000    0.0133
     6        1.1184             nan     0.1000    0.0110
     7        1.1011             nan     0.1000    0.0065
     8        1.0831             nan     0.1000    0.0088
     9        1.0657             nan     0.1000    0.0072
    10        1.0513             nan     0.1000    0.0057
    20        0.9664             nan     0.1000    0.0029
    40        0.8895             nan     0.1000    0.0008
    60        0.8514             nan     0.1000    0.0004
    80        0.8288             nan     0.1000   -0.0009
   100        0.8118             nan     0.1000   -0.0004
   120        0.7981             nan     0.1000   -0.0012
   140        0.7874             nan     0.1000   -0.0007
   160        0.7792             nan     0.1000   -0.0005
   180        0.7708             nan     0.1000   -0.0005
   200        0.7653             nan     0.1000   -0.0005
   220        0.7570             nan     0.1000   -0.0008
   240        0.7510             nan     0.1000   -0.0005
   260        0.7461             nan     0.1000   -0.0005
   280        0.7418             nan     0.1000   -0.0007
   300        0.7373             nan     0.1000   -0.0003
   320        0.7343             nan     0.1000   -0.0005
   340        0.7305             nan     0.1000   -0.0014
   360        0.7259             nan     0.1000   -0.0008
   380        0.7224             nan     0.1000   -0.0012
   400        0.7207             nan     0.1000   -0.0010
   420        0.7169             nan     0.1000   -0.0006
   440        0.7138             nan     0.1000   -0.0004
   460        0.7107             nan     0.1000   -0.0010
   480        0.7081             nan     0.1000   -0.0009
   500        0.7059             nan     0.1000   -0.0010
   520        0.7041             nan     0.1000   -0.0015
   540        0.7018             nan     0.1000   -0.0004
   560        0.6981             nan     0.1000   -0.0005
   580        0.6950             nan     0.1000   -0.0006
   600        0.6933             nan     0.1000   -0.0008
   620        0.6923             nan     0.1000   -0.0011
   640        0.6910             nan     0.1000   -0.0004
   660        0.6891             nan     0.1000   -0.0006
   680        0.6877             nan     0.1000   -0.0005
   700        0.6854             nan     0.1000   -0.0004
   720        0.6828             nan     0.1000   -0.0012
   740        0.6816             nan     0.1000   -0.0010
   760        0.6799             nan     0.1000   -0.0016
   780        0.6790             nan     0.1000   -0.0008
   800        0.6772             nan     0.1000   -0.0007
   820        0.6764             nan     0.1000   -0.0006
   840        0.6746             nan     0.1000   -0.0008
   860        0.6724             nan     0.1000   -0.0008
   880        0.6710             nan     0.1000   -0.0007
   900        0.6696             nan     0.1000   -0.0002
   920        0.6683             nan     0.1000   -0.0002
   940        0.6655             nan     0.1000   -0.0006
   960        0.6633             nan     0.1000   -0.0007
   980        0.6622             nan     0.1000   -0.0007
  1000        0.6604             nan     0.1000   -0.0011
  1020        0.6589             nan     0.1000   -0.0005
  1040        0.6588             nan     0.1000   -0.0010
  1060        0.6564             nan     0.1000   -0.0011
  1080        0.6553             nan     0.1000   -0.0008
  1100        0.6535             nan     0.1000   -0.0007

- Fold09.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2637             nan     0.1000    0.0339
     2        1.2079             nan     0.1000    0.0273
     3        1.1624             nan     0.1000    0.0222
     4        1.1235             nan     0.1000    0.0203
     5        1.0902             nan     0.1000    0.0164
     6        1.0573             nan     0.1000    0.0143
     7        1.0327             nan     0.1000    0.0114
     8        1.0105             nan     0.1000    0.0097
     9        0.9927             nan     0.1000    0.0082
    10        0.9788             nan     0.1000    0.0054
    20        0.8803             nan     0.1000    0.0017
    40        0.8074             nan     0.1000   -0.0002
    60        0.7685             nan     0.1000   -0.0011
    80        0.7444             nan     0.1000   -0.0012
   100        0.7220             nan     0.1000   -0.0012
   120        0.7066             nan     0.1000   -0.0010
   140        0.6919             nan     0.1000   -0.0018
   160        0.6764             nan     0.1000   -0.0008
   180        0.6646             nan     0.1000   -0.0009
   200        0.6521             nan     0.1000   -0.0017
   220        0.6420             nan     0.1000   -0.0012
   240        0.6310             nan     0.1000   -0.0003
   260        0.6194             nan     0.1000   -0.0011
   280        0.6127             nan     0.1000   -0.0007
   300        0.6032             nan     0.1000   -0.0006
   320        0.5963             nan     0.1000   -0.0007
   340        0.5898             nan     0.1000   -0.0012
   360        0.5832             nan     0.1000   -0.0007
   380        0.5763             nan     0.1000   -0.0009
   400        0.5685             nan     0.1000   -0.0010
   420        0.5607             nan     0.1000   -0.0001
   440        0.5533             nan     0.1000   -0.0008
   460        0.5454             nan     0.1000   -0.0009
   480        0.5396             nan     0.1000   -0.0010
   500        0.5330             nan     0.1000   -0.0009
   520        0.5268             nan     0.1000   -0.0015
   540        0.5205             nan     0.1000   -0.0017
   560        0.5165             nan     0.1000   -0.0008
   580        0.5112             nan     0.1000   -0.0010
   600        0.5066             nan     0.1000   -0.0011
   620        0.5016             nan     0.1000   -0.0004
   640        0.4972             nan     0.1000   -0.0008
   660        0.4945             nan     0.1000   -0.0010
   680        0.4894             nan     0.1000   -0.0006
   700        0.4823             nan     0.1000   -0.0009
   720        0.4763             nan     0.1000   -0.0004
   740        0.4719             nan     0.1000   -0.0010
   760        0.4693             nan     0.1000   -0.0010
   780        0.4651             nan     0.1000   -0.0006
   800        0.4601             nan     0.1000   -0.0014
   820        0.4569             nan     0.1000   -0.0005
   840        0.4536             nan     0.1000   -0.0008
   860        0.4505             nan     0.1000   -0.0005
   880        0.4483             nan     0.1000   -0.0013
   900        0.4431             nan     0.1000   -0.0009
   920        0.4386             nan     0.1000   -0.0012
   940        0.4347             nan     0.1000   -0.0005
   960        0.4315             nan     0.1000   -0.0005
   980        0.4280             nan     0.1000   -0.0008
  1000        0.4259             nan     0.1000   -0.0011
  1020        0.4210             nan     0.1000   -0.0005
  1040        0.4170             nan     0.1000   -0.0010
  1060        0.4139             nan     0.1000   -0.0007
  1080        0.4114             nan     0.1000   -0.0013
  1100        0.4085             nan     0.1000   -0.0011

- Fold09.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2582             nan     0.1000    0.0348
     2        1.1946             nan     0.1000    0.0316
     3        1.1389             nan     0.1000    0.0250
     4        1.0964             nan     0.1000    0.0209
     5        1.0651             nan     0.1000    0.0172
     6        1.0350             nan     0.1000    0.0153
     7        1.0051             nan     0.1000    0.0143
     8        0.9834             nan     0.1000    0.0092
     9        0.9642             nan     0.1000    0.0074
    10        0.9475             nan     0.1000    0.0057
    20        0.8448             nan     0.1000    0.0015
    40        0.7616             nan     0.1000   -0.0004
    60        0.7160             nan     0.1000   -0.0001
    80        0.6855             nan     0.1000   -0.0008
   100        0.6608             nan     0.1000   -0.0011
   120        0.6395             nan     0.1000   -0.0003
   140        0.6211             nan     0.1000   -0.0022
   160        0.6028             nan     0.1000   -0.0008
   180        0.5903             nan     0.1000   -0.0017
   200        0.5749             nan     0.1000   -0.0021
   220        0.5597             nan     0.1000   -0.0015
   240        0.5496             nan     0.1000   -0.0014
   260        0.5375             nan     0.1000   -0.0013
   280        0.5243             nan     0.1000   -0.0008
   300        0.5151             nan     0.1000   -0.0008
   320        0.5039             nan     0.1000   -0.0006
   340        0.4945             nan     0.1000   -0.0011
   360        0.4839             nan     0.1000   -0.0012
   380        0.4735             nan     0.1000   -0.0009
   400        0.4629             nan     0.1000   -0.0007
   420        0.4563             nan     0.1000   -0.0011
   440        0.4487             nan     0.1000   -0.0009
   460        0.4394             nan     0.1000   -0.0009
   480        0.4345             nan     0.1000   -0.0011
   500        0.4258             nan     0.1000   -0.0017
   520        0.4193             nan     0.1000   -0.0005
   540        0.4082             nan     0.1000   -0.0011
   560        0.4017             nan     0.1000   -0.0009
   580        0.3951             nan     0.1000   -0.0014
   600        0.3885             nan     0.1000   -0.0016
   620        0.3820             nan     0.1000   -0.0006
   640        0.3759             nan     0.1000   -0.0013
   660        0.3690             nan     0.1000   -0.0008
   680        0.3637             nan     0.1000   -0.0020
   700        0.3582             nan     0.1000   -0.0020
   720        0.3509             nan     0.1000   -0.0010
   740        0.3443             nan     0.1000   -0.0006
   760        0.3404             nan     0.1000   -0.0021
   780        0.3359             nan     0.1000   -0.0007
   800        0.3303             nan     0.1000   -0.0009
   820        0.3254             nan     0.1000   -0.0008
   840        0.3203             nan     0.1000   -0.0007
   860        0.3151             nan     0.1000   -0.0012
   880        0.3117             nan     0.1000   -0.0006
   900        0.3056             nan     0.1000   -0.0007
   920        0.3033             nan     0.1000   -0.0009
   940        0.2999             nan     0.1000   -0.0009
   960        0.2955             nan     0.1000   -0.0011
   980        0.2909             nan     0.1000   -0.0010
  1000        0.2876             nan     0.1000   -0.0006
  1020        0.2845             nan     0.1000   -0.0009
  1040        0.2817             nan     0.1000   -0.0010
  1060        0.2779             nan     0.1000   -0.0008
  1080        0.2757             nan     0.1000   -0.0008
  1100        0.2725             nan     0.1000   -0.0009

- Fold09.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3255             nan     0.0100    0.0030
     2        1.3196             nan     0.0100    0.0029
     3        1.3140             nan     0.0100    0.0029
     4        1.3085             nan     0.0100    0.0028
     5        1.3021             nan     0.0100    0.0027
     6        1.2962             nan     0.0100    0.0028
     7        1.2907             nan     0.0100    0.0024
     8        1.2851             nan     0.0100    0.0026
     9        1.2796             nan     0.0100    0.0024
    10        1.2748             nan     0.0100    0.0025
    20        1.2304             nan     0.0100    0.0021
    40        1.1623             nan     0.0100    0.0014
    60        1.1128             nan     0.0100    0.0009
    80        1.0735             nan     0.0100    0.0008
   100        1.0423             nan     0.0100    0.0007
   120        1.0169             nan     0.0100    0.0004
   140        0.9944             nan     0.0100    0.0005
   160        0.9759             nan     0.0100    0.0004
   180        0.9611             nan     0.0100    0.0003
   200        0.9478             nan     0.0100    0.0003
   220        0.9358             nan     0.0100    0.0002
   240        0.9246             nan     0.0100    0.0001
   260        0.9154             nan     0.0100    0.0002
   280        0.9066             nan     0.0100    0.0001
   300        0.8986             nan     0.0100    0.0002
   320        0.8914             nan     0.0100    0.0001
   340        0.8845             nan     0.0100    0.0001
   360        0.8786             nan     0.0100   -0.0001
   380        0.8729             nan     0.0100    0.0001
   400        0.8675             nan     0.0100    0.0000
   420        0.8625             nan     0.0100    0.0000
   440        0.8582             nan     0.0100    0.0000
   460        0.8536             nan     0.0100    0.0001
   480        0.8493             nan     0.0100    0.0000
   500        0.8455             nan     0.0100    0.0000
   520        0.8415             nan     0.0100    0.0000
   540        0.8379             nan     0.0100   -0.0000
   560        0.8346             nan     0.0100    0.0000
   580        0.8311             nan     0.0100    0.0000
   600        0.8279             nan     0.0100   -0.0000
   620        0.8247             nan     0.0100   -0.0000
   640        0.8216             nan     0.0100    0.0000
   660        0.8189             nan     0.0100   -0.0000
   680        0.8162             nan     0.0100   -0.0001
   700        0.8137             nan     0.0100   -0.0000
   720        0.8110             nan     0.0100   -0.0001
   740        0.8086             nan     0.0100    0.0000
   760        0.8062             nan     0.0100   -0.0001
   780        0.8038             nan     0.0100   -0.0001
   800        0.8018             nan     0.0100   -0.0001
   820        0.7996             nan     0.0100    0.0000
   840        0.7975             nan     0.0100    0.0000
   860        0.7954             nan     0.0100   -0.0000
   880        0.7935             nan     0.0100   -0.0001
   900        0.7919             nan     0.0100   -0.0000
   920        0.7900             nan     0.0100   -0.0000
   940        0.7884             nan     0.0100   -0.0000
   960        0.7868             nan     0.0100    0.0000
   980        0.7850             nan     0.0100   -0.0000
  1000        0.7832             nan     0.0100   -0.0000
  1020        0.7816             nan     0.0100   -0.0001
  1040        0.7800             nan     0.0100   -0.0001
  1060        0.7787             nan     0.0100   -0.0001
  1080        0.7773             nan     0.0100   -0.0000
  1100        0.7757             nan     0.0100   -0.0000

- Fold10.Rep4: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3237             nan     0.0100    0.0037
     2        1.3163             nan     0.0100    0.0038
     3        1.3086             nan     0.0100    0.0033
     4        1.3016             nan     0.0100    0.0034
     5        1.2947             nan     0.0100    0.0034
     6        1.2883             nan     0.0100    0.0032
     7        1.2821             nan     0.0100    0.0032
     8        1.2758             nan     0.0100    0.0029
     9        1.2694             nan     0.0100    0.0031
    10        1.2632             nan     0.0100    0.0031
    20        1.2066             nan     0.0100    0.0024
    40        1.1199             nan     0.0100    0.0019
    60        1.0548             nan     0.0100    0.0014
    80        1.0045             nan     0.0100    0.0010
   100        0.9664             nan     0.0100    0.0007
   120        0.9376             nan     0.0100    0.0004
   140        0.9138             nan     0.0100    0.0003
   160        0.8939             nan     0.0100    0.0003
   180        0.8772             nan     0.0100    0.0001
   200        0.8628             nan     0.0100    0.0001
   220        0.8505             nan     0.0100    0.0003
   240        0.8394             nan     0.0100    0.0001
   260        0.8299             nan     0.0100    0.0001
   280        0.8217             nan     0.0100    0.0001
   300        0.8137             nan     0.0100    0.0001
   320        0.8062             nan     0.0100    0.0001
   340        0.8004             nan     0.0100   -0.0000
   360        0.7940             nan     0.0100    0.0000
   380        0.7879             nan     0.0100   -0.0000
   400        0.7825             nan     0.0100    0.0000
   420        0.7779             nan     0.0100    0.0000
   440        0.7734             nan     0.0100    0.0000
   460        0.7694             nan     0.0100    0.0000
   480        0.7653             nan     0.0100    0.0000
   500        0.7609             nan     0.0100    0.0000
   520        0.7572             nan     0.0100   -0.0000
   540        0.7541             nan     0.0100   -0.0001
   560        0.7507             nan     0.0100   -0.0001
   580        0.7474             nan     0.0100   -0.0001
   600        0.7440             nan     0.0100   -0.0000
   620        0.7411             nan     0.0100   -0.0000
   640        0.7384             nan     0.0100   -0.0001
   660        0.7356             nan     0.0100   -0.0000
   680        0.7327             nan     0.0100   -0.0000
   700        0.7297             nan     0.0100   -0.0000
   720        0.7273             nan     0.0100   -0.0000
   740        0.7250             nan     0.0100   -0.0001
   760        0.7226             nan     0.0100    0.0000
   780        0.7200             nan     0.0100   -0.0000
   800        0.7178             nan     0.0100   -0.0001
   820        0.7153             nan     0.0100   -0.0001
   840        0.7131             nan     0.0100   -0.0000
   860        0.7106             nan     0.0100   -0.0001
   880        0.7084             nan     0.0100   -0.0001
   900        0.7061             nan     0.0100   -0.0000
   920        0.7041             nan     0.0100   -0.0001
   940        0.7021             nan     0.0100   -0.0001
   960        0.7003             nan     0.0100   -0.0002
   980        0.6982             nan     0.0100   -0.0000
  1000        0.6961             nan     0.0100   -0.0001
  1020        0.6940             nan     0.0100   -0.0001
  1040        0.6920             nan     0.0100   -0.0000
  1060        0.6903             nan     0.0100   -0.0001
  1080        0.6884             nan     0.0100   -0.0000
  1100        0.6862             nan     0.0100   -0.0000

- Fold10.Rep4: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3228             nan     0.0100    0.0039
     2        1.3151             nan     0.0100    0.0037
     3        1.3071             nan     0.0100    0.0036
     4        1.2993             nan     0.0100    0.0038
     5        1.2918             nan     0.0100    0.0038
     6        1.2845             nan     0.0100    0.0036
     7        1.2767             nan     0.0100    0.0037
     8        1.2693             nan     0.0100    0.0036
     9        1.2621             nan     0.0100    0.0032
    10        1.2553             nan     0.0100    0.0033
    20        1.1940             nan     0.0100    0.0026
    40        1.0960             nan     0.0100    0.0018
    60        1.0251             nan     0.0100    0.0015
    80        0.9717             nan     0.0100    0.0010
   100        0.9306             nan     0.0100    0.0008
   120        0.8998             nan     0.0100    0.0003
   140        0.8741             nan     0.0100    0.0004
   160        0.8538             nan     0.0100    0.0003
   180        0.8361             nan     0.0100    0.0002
   200        0.8210             nan     0.0100    0.0002
   220        0.8083             nan     0.0100    0.0000
   240        0.7972             nan     0.0100    0.0000
   260        0.7878             nan     0.0100   -0.0001
   280        0.7789             nan     0.0100    0.0001
   300        0.7710             nan     0.0100    0.0001
   320        0.7629             nan     0.0100    0.0000
   340        0.7557             nan     0.0100    0.0001
   360        0.7492             nan     0.0100   -0.0000
   380        0.7431             nan     0.0100    0.0000
   400        0.7369             nan     0.0100   -0.0000
   420        0.7319             nan     0.0100   -0.0002
   440        0.7268             nan     0.0100   -0.0002
   460        0.7217             nan     0.0100   -0.0001
   480        0.7176             nan     0.0100    0.0000
   500        0.7130             nan     0.0100    0.0000
   520        0.7089             nan     0.0100   -0.0001
   540        0.7048             nan     0.0100   -0.0001
   560        0.7004             nan     0.0100   -0.0002
   580        0.6969             nan     0.0100   -0.0002
   600        0.6929             nan     0.0100   -0.0001
   620        0.6889             nan     0.0100   -0.0001
   640        0.6860             nan     0.0100   -0.0003
   660        0.6826             nan     0.0100   -0.0001
   680        0.6795             nan     0.0100   -0.0000
   700        0.6767             nan     0.0100   -0.0001
   720        0.6738             nan     0.0100   -0.0000
   740        0.6709             nan     0.0100   -0.0000
   760        0.6680             nan     0.0100   -0.0001
   780        0.6651             nan     0.0100   -0.0001
   800        0.6621             nan     0.0100   -0.0000
   820        0.6595             nan     0.0100   -0.0001
   840        0.6569             nan     0.0100   -0.0001
   860        0.6546             nan     0.0100   -0.0002
   880        0.6517             nan     0.0100   -0.0000
   900        0.6487             nan     0.0100   -0.0001
   920        0.6463             nan     0.0100    0.0000
   940        0.6435             nan     0.0100   -0.0001
   960        0.6411             nan     0.0100   -0.0002
   980        0.6386             nan     0.0100   -0.0001
  1000        0.6364             nan     0.0100   -0.0001
  1020        0.6339             nan     0.0100   -0.0000
  1040        0.6313             nan     0.0100   -0.0001
  1060        0.6291             nan     0.0100   -0.0002
  1080        0.6267             nan     0.0100   -0.0002
  1100        0.6244             nan     0.0100   -0.0001

- Fold10.Rep4: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2716             nan     0.1000    0.0281
     2        1.2294             nan     0.1000    0.0219
     3        1.1935             nan     0.1000    0.0196
     4        1.1601             nan     0.1000    0.0165
     5        1.1395             nan     0.1000    0.0089
     6        1.1142             nan     0.1000    0.0113
     7        1.0904             nan     0.1000    0.0108
     8        1.0721             nan     0.1000    0.0092
     9        1.0563             nan     0.1000    0.0072
    10        1.0415             nan     0.1000    0.0069
    20        0.9492             nan     0.1000    0.0002
    40        0.8652             nan     0.1000    0.0007
    60        0.8265             nan     0.1000    0.0001
    80        0.8007             nan     0.1000    0.0003
   100        0.7825             nan     0.1000   -0.0003
   120        0.7687             nan     0.1000   -0.0003
   140        0.7558             nan     0.1000   -0.0005
   160        0.7475             nan     0.1000    0.0001
   180        0.7394             nan     0.1000   -0.0012
   200        0.7319             nan     0.1000   -0.0002
   220        0.7271             nan     0.1000   -0.0017
   240        0.7195             nan     0.1000   -0.0004
   260        0.7137             nan     0.1000   -0.0016
   280        0.7092             nan     0.1000   -0.0010
   300        0.7059             nan     0.1000   -0.0004
   320        0.7035             nan     0.1000   -0.0011
   340        0.6979             nan     0.1000   -0.0002
   360        0.6956             nan     0.1000   -0.0004
   380        0.6928             nan     0.1000   -0.0011
   400        0.6905             nan     0.1000   -0.0006
   420        0.6876             nan     0.1000   -0.0007
   440        0.6854             nan     0.1000   -0.0009
   460        0.6814             nan     0.1000   -0.0004
   480        0.6791             nan     0.1000   -0.0004
   500        0.6774             nan     0.1000   -0.0004
   520        0.6761             nan     0.1000   -0.0014
   540        0.6735             nan     0.1000   -0.0014
   560        0.6709             nan     0.1000   -0.0002
   580        0.6688             nan     0.1000   -0.0013
   600        0.6666             nan     0.1000   -0.0008
   620        0.6655             nan     0.1000   -0.0005
   640        0.6627             nan     0.1000   -0.0010
   660        0.6605             nan     0.1000   -0.0013
   680        0.6570             nan     0.1000   -0.0002
   700        0.6550             nan     0.1000   -0.0009
   720        0.6528             nan     0.1000   -0.0008
   740        0.6524             nan     0.1000   -0.0008
   760        0.6500             nan     0.1000   -0.0002
   780        0.6484             nan     0.1000   -0.0008
   800        0.6461             nan     0.1000   -0.0008
   820        0.6441             nan     0.1000   -0.0008
   840        0.6433             nan     0.1000   -0.0007
   860        0.6417             nan     0.1000   -0.0004
   880        0.6406             nan     0.1000   -0.0008
   900        0.6384             nan     0.1000   -0.0006
   920        0.6366             nan     0.1000   -0.0006
   940        0.6355             nan     0.1000   -0.0008
   960        0.6350             nan     0.1000   -0.0007
   980        0.6334             nan     0.1000   -0.0003
  1000        0.6313             nan     0.1000   -0.0015
  1020        0.6300             nan     0.1000   -0.0005
  1040        0.6291             nan     0.1000   -0.0008
  1060        0.6276             nan     0.1000   -0.0006
  1080        0.6264             nan     0.1000   -0.0010
  1100        0.6247             nan     0.1000   -0.0004

- Fold10.Rep4: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2598             nan     0.1000    0.0333
     2        1.2017             nan     0.1000    0.0279
     3        1.1512             nan     0.1000    0.0219
     4        1.1105             nan     0.1000    0.0186
     5        1.0789             nan     0.1000    0.0141
     6        1.0488             nan     0.1000    0.0136
     7        1.0253             nan     0.1000    0.0125
     8        1.0058             nan     0.1000    0.0106
     9        0.9819             nan     0.1000    0.0106
    10        0.9648             nan     0.1000    0.0073
    20        0.8695             nan     0.1000    0.0010
    40        0.7900             nan     0.1000   -0.0011
    60        0.7479             nan     0.1000   -0.0002
    80        0.7188             nan     0.1000   -0.0008
   100        0.6990             nan     0.1000   -0.0006
   120        0.6830             nan     0.1000   -0.0000
   140        0.6689             nan     0.1000   -0.0007
   160        0.6533             nan     0.1000   -0.0007
   180        0.6377             nan     0.1000   -0.0018
   200        0.6242             nan     0.1000   -0.0010
   220        0.6110             nan     0.1000   -0.0012
   240        0.5981             nan     0.1000   -0.0009
   260        0.5886             nan     0.1000   -0.0002
   280        0.5803             nan     0.1000   -0.0009
   300        0.5742             nan     0.1000   -0.0016
   320        0.5657             nan     0.1000   -0.0011
   340        0.5579             nan     0.1000   -0.0006
   360        0.5505             nan     0.1000   -0.0009
   380        0.5448             nan     0.1000   -0.0011
   400        0.5376             nan     0.1000   -0.0013
   420        0.5316             nan     0.1000   -0.0008
   440        0.5244             nan     0.1000   -0.0012
   460        0.5172             nan     0.1000   -0.0003
   480        0.5122             nan     0.1000   -0.0010
   500        0.5080             nan     0.1000   -0.0007
   520        0.5012             nan     0.1000   -0.0008
   540        0.4961             nan     0.1000   -0.0005
   560        0.4922             nan     0.1000   -0.0007
   580        0.4876             nan     0.1000   -0.0006
   600        0.4841             nan     0.1000   -0.0011
   620        0.4788             nan     0.1000   -0.0009
   640        0.4737             nan     0.1000   -0.0012
   660        0.4703             nan     0.1000   -0.0006
   680        0.4657             nan     0.1000   -0.0007
   700        0.4617             nan     0.1000   -0.0006
   720        0.4556             nan     0.1000   -0.0006
   740        0.4526             nan     0.1000   -0.0017
   760        0.4483             nan     0.1000   -0.0006
   780        0.4467             nan     0.1000   -0.0009
   800        0.4428             nan     0.1000   -0.0009
   820        0.4399             nan     0.1000   -0.0012
   840        0.4345             nan     0.1000   -0.0010
   860        0.4304             nan     0.1000   -0.0003
   880        0.4242             nan     0.1000   -0.0005
   900        0.4221             nan     0.1000   -0.0011
   920        0.4200             nan     0.1000   -0.0012
   940        0.4169             nan     0.1000   -0.0009
   960        0.4140             nan     0.1000   -0.0011
   980        0.4120             nan     0.1000   -0.0005
  1000        0.4078             nan     0.1000   -0.0007
  1020        0.4048             nan     0.1000   -0.0011
  1040        0.4013             nan     0.1000   -0.0001
  1060        0.3984             nan     0.1000   -0.0005
  1080        0.3956             nan     0.1000   -0.0006
  1100        0.3926             nan     0.1000   -0.0013

- Fold10.Rep4: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2473             nan     0.1000    0.0355
     2        1.1886             nan     0.1000    0.0298
     3        1.1347             nan     0.1000    0.0263
     4        1.0888             nan     0.1000    0.0219
     5        1.0539             nan     0.1000    0.0174
     6        1.0218             nan     0.1000    0.0151
     7        0.9910             nan     0.1000    0.0149
     8        0.9683             nan     0.1000    0.0103
     9        0.9519             nan     0.1000    0.0068
    10        0.9331             nan     0.1000    0.0065
    20        0.8283             nan     0.1000    0.0000
    40        0.7438             nan     0.1000   -0.0011
    60        0.7045             nan     0.1000   -0.0013
    80        0.6715             nan     0.1000   -0.0014
   100        0.6454             nan     0.1000   -0.0025
   120        0.6189             nan     0.1000   -0.0011
   140        0.5983             nan     0.1000   -0.0007
   160        0.5782             nan     0.1000   -0.0011
   180        0.5609             nan     0.1000   -0.0013
   200        0.5462             nan     0.1000   -0.0004
   220        0.5307             nan     0.1000   -0.0014
   240        0.5182             nan     0.1000   -0.0021
   260        0.5025             nan     0.1000   -0.0008
   280        0.4893             nan     0.1000   -0.0011
   300        0.4792             nan     0.1000   -0.0017
   320        0.4674             nan     0.1000   -0.0007
   340        0.4557             nan     0.1000   -0.0005
   360        0.4461             nan     0.1000   -0.0010
   380        0.4379             nan     0.1000   -0.0006
   400        0.4282             nan     0.1000   -0.0018
   420        0.4207             nan     0.1000   -0.0010
   440        0.4095             nan     0.1000   -0.0007
   460        0.4020             nan     0.1000   -0.0024
   480        0.3931             nan     0.1000   -0.0002
   500        0.3860             nan     0.1000   -0.0007
   520        0.3783             nan     0.1000   -0.0006
   540        0.3728             nan     0.1000   -0.0012
   560        0.3647             nan     0.1000   -0.0010
   580        0.3602             nan     0.1000   -0.0007
   600        0.3543             nan     0.1000   -0.0014
   620        0.3474             nan     0.1000   -0.0015
   640        0.3434             nan     0.1000   -0.0016
   660        0.3387             nan     0.1000   -0.0010
   680        0.3327             nan     0.1000   -0.0006
   700        0.3268             nan     0.1000   -0.0008
   720        0.3203             nan     0.1000   -0.0018
   740        0.3144             nan     0.1000   -0.0009
   760        0.3101             nan     0.1000   -0.0012
   780        0.3063             nan     0.1000   -0.0008
   800        0.3020             nan     0.1000   -0.0003
   820        0.2989             nan     0.1000   -0.0012
   840        0.2955             nan     0.1000   -0.0007
   860        0.2903             nan     0.1000   -0.0011
   880        0.2858             nan     0.1000   -0.0007
   900        0.2832             nan     0.1000   -0.0008
   920        0.2784             nan     0.1000   -0.0015
   940        0.2748             nan     0.1000   -0.0006
   960        0.2712             nan     0.1000   -0.0011
   980        0.2676             nan     0.1000   -0.0003
  1000        0.2644             nan     0.1000   -0.0004
  1020        0.2612             nan     0.1000   -0.0009
  1040        0.2586             nan     0.1000   -0.0008
  1060        0.2558             nan     0.1000   -0.0009
  1080        0.2521             nan     0.1000   -0.0004
  1100        0.2496             nan     0.1000   -0.0010

- Fold10.Rep4: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3260             nan     0.0100    0.0030
     2        1.3195             nan     0.0100    0.0029
     3        1.3135             nan     0.0100    0.0029
     4        1.3076             nan     0.0100    0.0027
     5        1.3020             nan     0.0100    0.0027
     6        1.2967             nan     0.0100    0.0026
     7        1.2917             nan     0.0100    0.0026
     8        1.2867             nan     0.0100    0.0026
     9        1.2817             nan     0.0100    0.0026
    10        1.2767             nan     0.0100    0.0025
    20        1.2316             nan     0.0100    0.0021
    40        1.1623             nan     0.0100    0.0015
    60        1.1120             nan     0.0100    0.0010
    80        1.0744             nan     0.0100    0.0008
   100        1.0445             nan     0.0100    0.0006
   120        1.0204             nan     0.0100    0.0005
   140        1.0010             nan     0.0100    0.0003
   160        0.9835             nan     0.0100    0.0003
   180        0.9685             nan     0.0100    0.0003
   200        0.9559             nan     0.0100    0.0002
   220        0.9447             nan     0.0100    0.0002
   240        0.9345             nan     0.0100    0.0001
   260        0.9254             nan     0.0100    0.0001
   280        0.9169             nan     0.0100    0.0001
   300        0.9091             nan     0.0100    0.0001
   320        0.9021             nan     0.0100    0.0000
   340        0.8960             nan     0.0100    0.0000
   360        0.8899             nan     0.0100    0.0000
   380        0.8843             nan     0.0100   -0.0001
   400        0.8790             nan     0.0100   -0.0000
   420        0.8740             nan     0.0100   -0.0000
   440        0.8696             nan     0.0100    0.0001
   460        0.8649             nan     0.0100    0.0000
   480        0.8610             nan     0.0100    0.0000
   500        0.8569             nan     0.0100    0.0000
   520        0.8530             nan     0.0100    0.0001
   540        0.8495             nan     0.0100    0.0000
   560        0.8460             nan     0.0100    0.0000
   580        0.8424             nan     0.0100   -0.0000
   600        0.8393             nan     0.0100    0.0000
   620        0.8361             nan     0.0100   -0.0000
   640        0.8330             nan     0.0100   -0.0000
   660        0.8302             nan     0.0100    0.0000
   680        0.8275             nan     0.0100   -0.0000
   700        0.8247             nan     0.0100   -0.0000
   720        0.8222             nan     0.0100    0.0000
   740        0.8197             nan     0.0100    0.0000
   760        0.8172             nan     0.0100   -0.0001
   780        0.8150             nan     0.0100   -0.0000
   800        0.8125             nan     0.0100   -0.0001
   820        0.8102             nan     0.0100   -0.0000
   840        0.8081             nan     0.0100   -0.0000
   860        0.8061             nan     0.0100    0.0000
   880        0.8040             nan     0.0100   -0.0000
   900        0.8020             nan     0.0100   -0.0000
   920        0.8004             nan     0.0100   -0.0000
   940        0.7988             nan     0.0100   -0.0001
   960        0.7969             nan     0.0100    0.0000
   980        0.7953             nan     0.0100   -0.0001
  1000        0.7936             nan     0.0100   -0.0000
  1020        0.7922             nan     0.0100   -0.0000
  1040        0.7905             nan     0.0100   -0.0000
  1060        0.7889             nan     0.0100   -0.0001
  1080        0.7874             nan     0.0100   -0.0001
  1100        0.7860             nan     0.0100    0.0000

- Fold01.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3244             nan     0.0100    0.0038
     2        1.3172             nan     0.0100    0.0036
     3        1.3100             nan     0.0100    0.0035
     4        1.3040             nan     0.0100    0.0029
     5        1.2970             nan     0.0100    0.0034
     6        1.2903             nan     0.0100    0.0033
     7        1.2837             nan     0.0100    0.0033
     8        1.2773             nan     0.0100    0.0033
     9        1.2708             nan     0.0100    0.0030
    10        1.2643             nan     0.0100    0.0031
    20        1.2077             nan     0.0100    0.0026
    40        1.1197             nan     0.0100    0.0018
    60        1.0541             nan     0.0100    0.0013
    80        1.0056             nan     0.0100    0.0008
   100        0.9697             nan     0.0100    0.0007
   120        0.9411             nan     0.0100    0.0003
   140        0.9182             nan     0.0100    0.0005
   160        0.8999             nan     0.0100    0.0003
   180        0.8850             nan     0.0100    0.0001
   200        0.8713             nan     0.0100    0.0001
   220        0.8588             nan     0.0100    0.0001
   240        0.8490             nan     0.0100    0.0001
   260        0.8401             nan     0.0100    0.0001
   280        0.8323             nan     0.0100    0.0000
   300        0.8251             nan     0.0100    0.0001
   320        0.8183             nan     0.0100    0.0002
   340        0.8121             nan     0.0100   -0.0000
   360        0.8054             nan     0.0100    0.0000
   380        0.7996             nan     0.0100    0.0001
   400        0.7938             nan     0.0100    0.0001
   420        0.7885             nan     0.0100    0.0000
   440        0.7840             nan     0.0100   -0.0001
   460        0.7794             nan     0.0100    0.0000
   480        0.7751             nan     0.0100   -0.0000
   500        0.7714             nan     0.0100   -0.0001
   520        0.7672             nan     0.0100   -0.0001
   540        0.7634             nan     0.0100   -0.0001
   560        0.7596             nan     0.0100   -0.0000
   580        0.7559             nan     0.0100   -0.0001
   600        0.7527             nan     0.0100   -0.0001
   620        0.7489             nan     0.0100    0.0000
   640        0.7462             nan     0.0100   -0.0001
   660        0.7434             nan     0.0100   -0.0001
   680        0.7404             nan     0.0100   -0.0000
   700        0.7373             nan     0.0100    0.0000
   720        0.7342             nan     0.0100   -0.0000
   740        0.7318             nan     0.0100   -0.0001
   760        0.7296             nan     0.0100   -0.0000
   780        0.7272             nan     0.0100   -0.0001
   800        0.7244             nan     0.0100   -0.0000
   820        0.7223             nan     0.0100    0.0000
   840        0.7195             nan     0.0100   -0.0001
   860        0.7169             nan     0.0100   -0.0001
   880        0.7147             nan     0.0100   -0.0001
   900        0.7126             nan     0.0100   -0.0001
   920        0.7107             nan     0.0100    0.0000
   940        0.7086             nan     0.0100   -0.0000
   960        0.7064             nan     0.0100   -0.0000
   980        0.7043             nan     0.0100   -0.0001
  1000        0.7023             nan     0.0100   -0.0001
  1020        0.7003             nan     0.0100   -0.0001
  1040        0.6983             nan     0.0100   -0.0002
  1060        0.6963             nan     0.0100   -0.0001
  1080        0.6941             nan     0.0100   -0.0001
  1100        0.6923             nan     0.0100   -0.0001

- Fold01.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3244             nan     0.0100    0.0040
     2        1.3166             nan     0.0100    0.0039
     3        1.3084             nan     0.0100    0.0039
     4        1.3009             nan     0.0100    0.0038
     5        1.2936             nan     0.0100    0.0036
     6        1.2860             nan     0.0100    0.0036
     7        1.2786             nan     0.0100    0.0034
     8        1.2715             nan     0.0100    0.0032
     9        1.2642             nan     0.0100    0.0035
    10        1.2575             nan     0.0100    0.0033
    20        1.1957             nan     0.0100    0.0027
    40        1.0995             nan     0.0100    0.0020
    60        1.0294             nan     0.0100    0.0014
    80        0.9767             nan     0.0100    0.0009
   100        0.9376             nan     0.0100    0.0007
   120        0.9069             nan     0.0100    0.0005
   140        0.8839             nan     0.0100    0.0003
   160        0.8640             nan     0.0100    0.0004
   180        0.8477             nan     0.0100    0.0003
   200        0.8337             nan     0.0100    0.0001
   220        0.8210             nan     0.0100    0.0002
   240        0.8097             nan     0.0100    0.0001
   260        0.7991             nan     0.0100    0.0001
   280        0.7903             nan     0.0100    0.0000
   300        0.7820             nan     0.0100   -0.0001
   320        0.7743             nan     0.0100   -0.0001
   340        0.7664             nan     0.0100   -0.0001
   360        0.7596             nan     0.0100   -0.0001
   380        0.7542             nan     0.0100   -0.0000
   400        0.7492             nan     0.0100   -0.0001
   420        0.7440             nan     0.0100   -0.0000
   440        0.7389             nan     0.0100   -0.0001
   460        0.7338             nan     0.0100    0.0000
   480        0.7290             nan     0.0100   -0.0001
   500        0.7243             nan     0.0100   -0.0001
   520        0.7199             nan     0.0100   -0.0001
   540        0.7159             nan     0.0100   -0.0000
   560        0.7118             nan     0.0100    0.0000
   580        0.7084             nan     0.0100   -0.0001
   600        0.7048             nan     0.0100   -0.0001
   620        0.7012             nan     0.0100   -0.0001
   640        0.6975             nan     0.0100   -0.0000
   660        0.6942             nan     0.0100   -0.0000
   680        0.6902             nan     0.0100   -0.0001
   700        0.6868             nan     0.0100   -0.0001
   720        0.6832             nan     0.0100   -0.0000
   740        0.6802             nan     0.0100   -0.0002
   760        0.6768             nan     0.0100   -0.0000
   780        0.6735             nan     0.0100   -0.0001
   800        0.6706             nan     0.0100   -0.0000
   820        0.6675             nan     0.0100   -0.0001
   840        0.6646             nan     0.0100   -0.0001
   860        0.6617             nan     0.0100   -0.0001
   880        0.6591             nan     0.0100   -0.0001
   900        0.6565             nan     0.0100   -0.0002
   920        0.6538             nan     0.0100   -0.0002
   940        0.6519             nan     0.0100   -0.0001
   960        0.6487             nan     0.0100   -0.0001
   980        0.6459             nan     0.0100   -0.0001
  1000        0.6432             nan     0.0100   -0.0001
  1020        0.6404             nan     0.0100   -0.0002
  1040        0.6378             nan     0.0100   -0.0001
  1060        0.6355             nan     0.0100   -0.0002
  1080        0.6326             nan     0.0100   -0.0001
  1100        0.6301             nan     0.0100   -0.0001

- Fold01.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2785             nan     0.1000    0.0276
     2        1.2274             nan     0.1000    0.0239
     3        1.1877             nan     0.1000    0.0185
     4        1.1595             nan     0.1000    0.0161
     5        1.1335             nan     0.1000    0.0136
     6        1.1099             nan     0.1000    0.0110
     7        1.0916             nan     0.1000    0.0085
     8        1.0737             nan     0.1000    0.0065
     9        1.0553             nan     0.1000    0.0076
    10        1.0411             nan     0.1000    0.0062
    20        0.9542             nan     0.1000    0.0017
    40        0.8797             nan     0.1000    0.0004
    60        0.8384             nan     0.1000    0.0000
    80        0.8125             nan     0.1000   -0.0010
   100        0.7947             nan     0.1000   -0.0004
   120        0.7815             nan     0.1000   -0.0010
   140        0.7711             nan     0.1000   -0.0008
   160        0.7621             nan     0.1000   -0.0018
   180        0.7540             nan     0.1000   -0.0011
   200        0.7475             nan     0.1000   -0.0004
   220        0.7418             nan     0.1000   -0.0002
   240        0.7348             nan     0.1000   -0.0008
   260        0.7312             nan     0.1000   -0.0008
   280        0.7263             nan     0.1000   -0.0009
   300        0.7222             nan     0.1000   -0.0013
   320        0.7183             nan     0.1000   -0.0007
   340        0.7137             nan     0.1000   -0.0010
   360        0.7108             nan     0.1000   -0.0001
   380        0.7078             nan     0.1000   -0.0008
   400        0.7052             nan     0.1000   -0.0006
   420        0.7009             nan     0.1000   -0.0007
   440        0.6980             nan     0.1000   -0.0006
   460        0.6951             nan     0.1000   -0.0005
   480        0.6906             nan     0.1000   -0.0004
   500        0.6888             nan     0.1000   -0.0009
   520        0.6861             nan     0.1000   -0.0009
   540        0.6840             nan     0.1000   -0.0006
   560        0.6809             nan     0.1000   -0.0013
   580        0.6772             nan     0.1000   -0.0007
   600        0.6743             nan     0.1000   -0.0004
   620        0.6715             nan     0.1000   -0.0003
   640        0.6702             nan     0.1000   -0.0007
   660        0.6676             nan     0.1000   -0.0007
   680        0.6649             nan     0.1000   -0.0004
   700        0.6632             nan     0.1000   -0.0005
   720        0.6611             nan     0.1000   -0.0010
   740        0.6599             nan     0.1000   -0.0003
   760        0.6580             nan     0.1000   -0.0004
   780        0.6558             nan     0.1000   -0.0008
   800        0.6539             nan     0.1000   -0.0004
   820        0.6528             nan     0.1000   -0.0006
   840        0.6513             nan     0.1000   -0.0007
   860        0.6500             nan     0.1000   -0.0006
   880        0.6489             nan     0.1000   -0.0014
   900        0.6469             nan     0.1000   -0.0005
   920        0.6453             nan     0.1000   -0.0007
   940        0.6437             nan     0.1000   -0.0014
   960        0.6433             nan     0.1000   -0.0005
   980        0.6419             nan     0.1000   -0.0003
  1000        0.6400             nan     0.1000   -0.0008
  1020        0.6383             nan     0.1000   -0.0008
  1040        0.6368             nan     0.1000   -0.0003
  1060        0.6359             nan     0.1000   -0.0011
  1080        0.6356             nan     0.1000   -0.0005
  1100        0.6336             nan     0.1000   -0.0012

- Fold01.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2587             nan     0.1000    0.0351
     2        1.1984             nan     0.1000    0.0292
     3        1.1488             nan     0.1000    0.0209
     4        1.1040             nan     0.1000    0.0201
     5        1.0740             nan     0.1000    0.0160
     6        1.0465             nan     0.1000    0.0089
     7        1.0200             nan     0.1000    0.0113
     8        0.9957             nan     0.1000    0.0107
     9        0.9771             nan     0.1000    0.0080
    10        0.9626             nan     0.1000    0.0074
    20        0.8732             nan     0.1000    0.0023
    40        0.7957             nan     0.1000    0.0001
    60        0.7584             nan     0.1000   -0.0014
    80        0.7330             nan     0.1000   -0.0003
   100        0.7121             nan     0.1000   -0.0009
   120        0.6954             nan     0.1000    0.0002
   140        0.6807             nan     0.1000   -0.0005
   160        0.6661             nan     0.1000   -0.0006
   180        0.6525             nan     0.1000   -0.0006
   200        0.6398             nan     0.1000   -0.0010
   220        0.6276             nan     0.1000   -0.0011
   240        0.6151             nan     0.1000   -0.0017
   260        0.6030             nan     0.1000   -0.0010
   280        0.5926             nan     0.1000   -0.0010
   300        0.5868             nan     0.1000   -0.0012
   320        0.5751             nan     0.1000   -0.0010
   340        0.5684             nan     0.1000   -0.0007
   360        0.5614             nan     0.1000   -0.0006
   380        0.5533             nan     0.1000   -0.0006
   400        0.5456             nan     0.1000   -0.0016
   420        0.5377             nan     0.1000   -0.0014
   440        0.5275             nan     0.1000   -0.0014
   460        0.5195             nan     0.1000   -0.0013
   480        0.5127             nan     0.1000   -0.0008
   500        0.5090             nan     0.1000   -0.0008
   520        0.5043             nan     0.1000   -0.0016
   540        0.4976             nan     0.1000   -0.0005
   560        0.4943             nan     0.1000   -0.0010
   580        0.4902             nan     0.1000   -0.0012
   600        0.4845             nan     0.1000   -0.0009
   620        0.4798             nan     0.1000   -0.0018
   640        0.4769             nan     0.1000   -0.0009
   660        0.4722             nan     0.1000   -0.0008
   680        0.4686             nan     0.1000   -0.0013
   700        0.4655             nan     0.1000   -0.0004
   720        0.4609             nan     0.1000   -0.0007
   740        0.4564             nan     0.1000   -0.0007
   760        0.4528             nan     0.1000   -0.0013
   780        0.4477             nan     0.1000   -0.0007
   800        0.4432             nan     0.1000   -0.0010
   820        0.4397             nan     0.1000   -0.0007
   840        0.4359             nan     0.1000   -0.0011
   860        0.4325             nan     0.1000   -0.0008
   880        0.4296             nan     0.1000   -0.0004
   900        0.4259             nan     0.1000   -0.0004
   920        0.4228             nan     0.1000   -0.0012
   940        0.4184             nan     0.1000   -0.0005
   960        0.4143             nan     0.1000   -0.0015
   980        0.4121             nan     0.1000   -0.0007
  1000        0.4100             nan     0.1000   -0.0005
  1020        0.4043             nan     0.1000   -0.0008
  1040        0.4021             nan     0.1000   -0.0008
  1060        0.4004             nan     0.1000   -0.0012
  1080        0.3972             nan     0.1000   -0.0007
  1100        0.3947             nan     0.1000   -0.0015

- Fold01.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold01.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2533             nan     0.1000    0.0410
     2        1.1869             nan     0.1000    0.0295
     3        1.1342             nan     0.1000    0.0252
     4        1.0888             nan     0.1000    0.0223
     5        1.0517             nan     0.1000    0.0172
     6        1.0204             nan     0.1000    0.0155
     7        0.9906             nan     0.1000    0.0123
     8        0.9647             nan     0.1000    0.0110
     9        0.9445             nan     0.1000    0.0083
    10        0.9260             nan     0.1000    0.0074
    20        0.8285             nan     0.1000    0.0013
    40        0.7451             nan     0.1000   -0.0002
    60        0.7036             nan     0.1000    0.0005
    80        0.6742             nan     0.1000   -0.0010
   100        0.6478             nan     0.1000   -0.0011
   120        0.6266             nan     0.1000   -0.0017
   140        0.6048             nan     0.1000   -0.0019
   160        0.5876             nan     0.1000   -0.0025
   180        0.5717             nan     0.1000   -0.0012
   200        0.5531             nan     0.1000   -0.0011
   220        0.5355             nan     0.1000   -0.0010
   240        0.5240             nan     0.1000   -0.0010
   260        0.5108             nan     0.1000   -0.0012
   280        0.4932             nan     0.1000   -0.0006
   300        0.4815             nan     0.1000   -0.0010
   320        0.4734             nan     0.1000   -0.0005
   340        0.4646             nan     0.1000   -0.0013
   360        0.4532             nan     0.1000   -0.0010
   380        0.4437             nan     0.1000   -0.0009
   400        0.4347             nan     0.1000   -0.0009
   420        0.4271             nan     0.1000   -0.0014
   440        0.4189             nan     0.1000   -0.0009
   460        0.4113             nan     0.1000   -0.0014
   480        0.4029             nan     0.1000   -0.0006
   500        0.3975             nan     0.1000   -0.0011
   520        0.3920             nan     0.1000   -0.0009
   540        0.3832             nan     0.1000   -0.0013
   560        0.3780             nan     0.1000   -0.0012
   580        0.3731             nan     0.1000   -0.0007
   600        0.3662             nan     0.1000   -0.0005
   620        0.3606             nan     0.1000   -0.0010
   640        0.3550             nan     0.1000   -0.0005
   660        0.3480             nan     0.1000   -0.0010
   680        0.3420             nan     0.1000   -0.0007
   700        0.3381             nan     0.1000   -0.0005
   720        0.3337             nan     0.1000   -0.0007
   740        0.3299             nan     0.1000   -0.0011
   760        0.3251             nan     0.1000   -0.0006
   780        0.3208             nan     0.1000   -0.0007
   800        0.3156             nan     0.1000   -0.0005
   820        0.3109             nan     0.1000   -0.0012
   840        0.3058             nan     0.1000   -0.0010
   860        0.3002             nan     0.1000   -0.0007
   880        0.2957             nan     0.1000   -0.0009
   900        0.2920             nan     0.1000   -0.0006
   920        0.2896             nan     0.1000   -0.0007
   940        0.2859             nan     0.1000   -0.0005
   960        0.2824             nan     0.1000   -0.0012
   980        0.2803             nan     0.1000   -0.0004
  1000        0.2771             nan     0.1000   -0.0003
  1020        0.2739             nan     0.1000   -0.0007
  1040        0.2707             nan     0.1000   -0.0012
  1060        0.2676             nan     0.1000   -0.0009
  1080        0.2634             nan     0.1000   -0.0006
  1100        0.2599             nan     0.1000   -0.0002

- Fold01.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3248             nan     0.0100    0.0032
     2        1.3190             nan     0.0100    0.0029
     3        1.3134             nan     0.0100    0.0029
     4        1.3076             nan     0.0100    0.0028
     5        1.3019             nan     0.0100    0.0029
     6        1.2958             nan     0.0100    0.0028
     7        1.2897             nan     0.0100    0.0028
     8        1.2840             nan     0.0100    0.0028
     9        1.2789             nan     0.0100    0.0025
    10        1.2735             nan     0.0100    0.0026
    20        1.2264             nan     0.0100    0.0021
    40        1.1545             nan     0.0100    0.0015
    60        1.1046             nan     0.0100    0.0011
    80        1.0667             nan     0.0100    0.0008
   100        1.0370             nan     0.0100    0.0006
   120        1.0129             nan     0.0100    0.0005
   140        0.9922             nan     0.0100    0.0004
   160        0.9751             nan     0.0100    0.0003
   180        0.9609             nan     0.0100    0.0002
   200        0.9477             nan     0.0100    0.0002
   220        0.9359             nan     0.0100    0.0001
   240        0.9256             nan     0.0100    0.0001
   260        0.9168             nan     0.0100    0.0001
   280        0.9087             nan     0.0100   -0.0001
   300        0.9013             nan     0.0100    0.0001
   320        0.8941             nan     0.0100    0.0001
   340        0.8877             nan     0.0100    0.0001
   360        0.8817             nan     0.0100    0.0001
   380        0.8760             nan     0.0100    0.0000
   400        0.8708             nan     0.0100    0.0001
   420        0.8659             nan     0.0100    0.0001
   440        0.8613             nan     0.0100    0.0000
   460        0.8573             nan     0.0100    0.0001
   480        0.8533             nan     0.0100    0.0000
   500        0.8496             nan     0.0100   -0.0000
   520        0.8461             nan     0.0100    0.0000
   540        0.8423             nan     0.0100   -0.0000
   560        0.8389             nan     0.0100   -0.0000
   580        0.8357             nan     0.0100   -0.0000
   600        0.8325             nan     0.0100   -0.0000
   620        0.8296             nan     0.0100   -0.0000
   640        0.8268             nan     0.0100    0.0000
   660        0.8243             nan     0.0100   -0.0000
   680        0.8218             nan     0.0100   -0.0000
   700        0.8193             nan     0.0100   -0.0000
   720        0.8171             nan     0.0100   -0.0000
   740        0.8149             nan     0.0100   -0.0000
   760        0.8129             nan     0.0100   -0.0000
   780        0.8106             nan     0.0100   -0.0000
   800        0.8087             nan     0.0100   -0.0001
   820        0.8067             nan     0.0100   -0.0000
   840        0.8050             nan     0.0100   -0.0000
   860        0.8031             nan     0.0100   -0.0000
   880        0.8012             nan     0.0100   -0.0000
   900        0.7993             nan     0.0100   -0.0000
   920        0.7977             nan     0.0100   -0.0001
   940        0.7962             nan     0.0100   -0.0001
   960        0.7946             nan     0.0100   -0.0002
   980        0.7930             nan     0.0100   -0.0000
  1000        0.7916             nan     0.0100   -0.0000
  1020        0.7902             nan     0.0100   -0.0000
  1040        0.7888             nan     0.0100   -0.0000
  1060        0.7874             nan     0.0100   -0.0001
  1080        0.7860             nan     0.0100   -0.0000
  1100        0.7848             nan     0.0100   -0.0000

- Fold02.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3232             nan     0.0100    0.0036
     2        1.3161             nan     0.0100    0.0035
     3        1.3088             nan     0.0100    0.0034
     4        1.3013             nan     0.0100    0.0036
     5        1.2943             nan     0.0100    0.0034
     6        1.2872             nan     0.0100    0.0033
     7        1.2805             nan     0.0100    0.0031
     8        1.2739             nan     0.0100    0.0032
     9        1.2677             nan     0.0100    0.0029
    10        1.2615             nan     0.0100    0.0031
    20        1.2055             nan     0.0100    0.0023
    40        1.1172             nan     0.0100    0.0019
    60        1.0519             nan     0.0100    0.0014
    80        1.0032             nan     0.0100    0.0010
   100        0.9662             nan     0.0100    0.0006
   120        0.9370             nan     0.0100    0.0005
   140        0.9146             nan     0.0100    0.0003
   160        0.8961             nan     0.0100    0.0004
   180        0.8808             nan     0.0100    0.0001
   200        0.8677             nan     0.0100    0.0001
   220        0.8563             nan     0.0100    0.0001
   240        0.8462             nan     0.0100    0.0003
   260        0.8379             nan     0.0100   -0.0001
   280        0.8295             nan     0.0100    0.0001
   300        0.8223             nan     0.0100   -0.0001
   320        0.8157             nan     0.0100   -0.0001
   340        0.8096             nan     0.0100   -0.0000
   360        0.8039             nan     0.0100    0.0000
   380        0.7982             nan     0.0100    0.0001
   400        0.7936             nan     0.0100   -0.0001
   420        0.7884             nan     0.0100   -0.0000
   440        0.7830             nan     0.0100   -0.0000
   460        0.7791             nan     0.0100   -0.0000
   480        0.7750             nan     0.0100   -0.0001
   500        0.7708             nan     0.0100   -0.0001
   520        0.7672             nan     0.0100   -0.0000
   540        0.7640             nan     0.0100   -0.0000
   560        0.7605             nan     0.0100   -0.0000
   580        0.7573             nan     0.0100   -0.0001
   600        0.7546             nan     0.0100   -0.0000
   620        0.7519             nan     0.0100   -0.0001
   640        0.7491             nan     0.0100   -0.0001
   660        0.7464             nan     0.0100   -0.0001
   680        0.7435             nan     0.0100   -0.0000
   700        0.7410             nan     0.0100   -0.0001
   720        0.7384             nan     0.0100   -0.0000
   740        0.7359             nan     0.0100   -0.0001
   760        0.7336             nan     0.0100   -0.0002
   780        0.7311             nan     0.0100   -0.0001
   800        0.7284             nan     0.0100    0.0000
   820        0.7261             nan     0.0100   -0.0000
   840        0.7243             nan     0.0100   -0.0001
   860        0.7223             nan     0.0100   -0.0001
   880        0.7202             nan     0.0100   -0.0001
   900        0.7179             nan     0.0100   -0.0001
   920        0.7157             nan     0.0100   -0.0001
   940        0.7138             nan     0.0100   -0.0001
   960        0.7117             nan     0.0100    0.0000
   980        0.7099             nan     0.0100   -0.0001
  1000        0.7078             nan     0.0100   -0.0001
  1020        0.7059             nan     0.0100   -0.0001
  1040        0.7040             nan     0.0100   -0.0001
  1060        0.7023             nan     0.0100   -0.0001
  1080        0.7005             nan     0.0100    0.0000
  1100        0.6987             nan     0.0100   -0.0001

- Fold02.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3237             nan     0.0100    0.0035
     2        1.3157             nan     0.0100    0.0040
     3        1.3082             nan     0.0100    0.0036
     4        1.3006             nan     0.0100    0.0034
     5        1.2934             nan     0.0100    0.0033
     6        1.2864             nan     0.0100    0.0036
     7        1.2789             nan     0.0100    0.0036
     8        1.2715             nan     0.0100    0.0037
     9        1.2647             nan     0.0100    0.0034
    10        1.2576             nan     0.0100    0.0033
    20        1.1953             nan     0.0100    0.0027
    40        1.0981             nan     0.0100    0.0021
    60        1.0277             nan     0.0100    0.0015
    80        0.9749             nan     0.0100    0.0011
   100        0.9341             nan     0.0100    0.0007
   120        0.9044             nan     0.0100    0.0005
   140        0.8802             nan     0.0100    0.0003
   160        0.8614             nan     0.0100    0.0003
   180        0.8449             nan     0.0100    0.0001
   200        0.8300             nan     0.0100    0.0001
   220        0.8175             nan     0.0100    0.0001
   240        0.8070             nan     0.0100   -0.0001
   260        0.7971             nan     0.0100    0.0000
   280        0.7894             nan     0.0100    0.0002
   300        0.7818             nan     0.0100    0.0000
   320        0.7746             nan     0.0100    0.0001
   340        0.7672             nan     0.0100   -0.0000
   360        0.7603             nan     0.0100    0.0001
   380        0.7546             nan     0.0100    0.0001
   400        0.7496             nan     0.0100   -0.0000
   420        0.7444             nan     0.0100   -0.0001
   440        0.7400             nan     0.0100   -0.0001
   460        0.7354             nan     0.0100   -0.0002
   480        0.7312             nan     0.0100   -0.0002
   500        0.7267             nan     0.0100   -0.0000
   520        0.7229             nan     0.0100   -0.0001
   540        0.7189             nan     0.0100    0.0000
   560        0.7154             nan     0.0100   -0.0001
   580        0.7115             nan     0.0100   -0.0001
   600        0.7078             nan     0.0100   -0.0001
   620        0.7046             nan     0.0100   -0.0001
   640        0.7013             nan     0.0100   -0.0001
   660        0.6977             nan     0.0100   -0.0001
   680        0.6941             nan     0.0100   -0.0000
   700        0.6907             nan     0.0100   -0.0002
   720        0.6876             nan     0.0100   -0.0001
   740        0.6846             nan     0.0100   -0.0001
   760        0.6812             nan     0.0100   -0.0001
   780        0.6783             nan     0.0100    0.0000
   800        0.6754             nan     0.0100   -0.0001
   820        0.6726             nan     0.0100   -0.0001
   840        0.6702             nan     0.0100   -0.0002
   860        0.6674             nan     0.0100   -0.0000
   880        0.6645             nan     0.0100   -0.0001
   900        0.6617             nan     0.0100   -0.0001
   920        0.6590             nan     0.0100   -0.0001
   940        0.6564             nan     0.0100   -0.0000
   960        0.6537             nan     0.0100   -0.0001
   980        0.6509             nan     0.0100   -0.0000
  1000        0.6487             nan     0.0100   -0.0000
  1020        0.6462             nan     0.0100   -0.0001
  1040        0.6439             nan     0.0100   -0.0001
  1060        0.6416             nan     0.0100   -0.0001
  1080        0.6389             nan     0.0100   -0.0001
  1100        0.6363             nan     0.0100   -0.0001

- Fold02.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2741             nan     0.1000    0.0291
     2        1.2222             nan     0.1000    0.0249
     3        1.1852             nan     0.1000    0.0191
     4        1.1559             nan     0.1000    0.0160
     5        1.1268             nan     0.1000    0.0145
     6        1.1038             nan     0.1000    0.0124
     7        1.0860             nan     0.1000    0.0067
     8        1.0630             nan     0.1000    0.0091
     9        1.0484             nan     0.1000    0.0074
    10        1.0332             nan     0.1000    0.0050
    20        0.9444             nan     0.1000    0.0005
    40        0.8704             nan     0.1000    0.0004
    60        0.8332             nan     0.1000    0.0000
    80        0.8113             nan     0.1000   -0.0004
   100        0.7955             nan     0.1000   -0.0007
   120        0.7825             nan     0.1000   -0.0006
   140        0.7721             nan     0.1000   -0.0007
   160        0.7611             nan     0.1000   -0.0013
   180        0.7536             nan     0.1000   -0.0013
   200        0.7468             nan     0.1000   -0.0002
   220        0.7421             nan     0.1000   -0.0010
   240        0.7359             nan     0.1000   -0.0008
   260        0.7314             nan     0.1000   -0.0005
   280        0.7271             nan     0.1000   -0.0006
   300        0.7239             nan     0.1000   -0.0005
   320        0.7193             nan     0.1000   -0.0010
   340        0.7169             nan     0.1000   -0.0009
   360        0.7131             nan     0.1000   -0.0009
   380        0.7093             nan     0.1000   -0.0006
   400        0.7059             nan     0.1000   -0.0011
   420        0.7033             nan     0.1000   -0.0016
   440        0.6995             nan     0.1000   -0.0015
   460        0.6967             nan     0.1000   -0.0007
   480        0.6951             nan     0.1000   -0.0009
   500        0.6923             nan     0.1000   -0.0010
   520        0.6905             nan     0.1000   -0.0023
   540        0.6886             nan     0.1000   -0.0004
   560        0.6860             nan     0.1000   -0.0010
   580        0.6834             nan     0.1000   -0.0005
   600        0.6808             nan     0.1000   -0.0005
   620        0.6787             nan     0.1000   -0.0004
   640        0.6760             nan     0.1000   -0.0010
   660        0.6749             nan     0.1000   -0.0024
   680        0.6739             nan     0.1000   -0.0003
   700        0.6714             nan     0.1000   -0.0010
   720        0.6691             nan     0.1000   -0.0011
   740        0.6683             nan     0.1000   -0.0013
   760        0.6664             nan     0.1000   -0.0006
   780        0.6650             nan     0.1000   -0.0006
   800        0.6630             nan     0.1000   -0.0006
   820        0.6620             nan     0.1000   -0.0006
   840        0.6605             nan     0.1000   -0.0006
   860        0.6586             nan     0.1000   -0.0006
   880        0.6567             nan     0.1000   -0.0008
   900        0.6556             nan     0.1000   -0.0005
   920        0.6550             nan     0.1000   -0.0006
   940        0.6536             nan     0.1000   -0.0006
   960        0.6527             nan     0.1000   -0.0007
   980        0.6508             nan     0.1000   -0.0006
  1000        0.6491             nan     0.1000   -0.0010
  1020        0.6470             nan     0.1000   -0.0006
  1040        0.6453             nan     0.1000   -0.0012
  1060        0.6443             nan     0.1000   -0.0010
  1080        0.6432             nan     0.1000   -0.0009
  1100        0.6422             nan     0.1000   -0.0010

- Fold02.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2573             nan     0.1000    0.0352
     2        1.1959             nan     0.1000    0.0268
     3        1.1452             nan     0.1000    0.0212
     4        1.1047             nan     0.1000    0.0194
     5        1.0672             nan     0.1000    0.0162
     6        1.0419             nan     0.1000    0.0128
     7        1.0149             nan     0.1000    0.0113
     8        0.9962             nan     0.1000    0.0066
     9        0.9758             nan     0.1000    0.0090
    10        0.9628             nan     0.1000    0.0053
    20        0.8646             nan     0.1000    0.0018
    40        0.7877             nan     0.1000    0.0014
    60        0.7540             nan     0.1000   -0.0007
    80        0.7275             nan     0.1000   -0.0007
   100        0.7060             nan     0.1000   -0.0002
   120        0.6901             nan     0.1000   -0.0016
   140        0.6754             nan     0.1000   -0.0014
   160        0.6618             nan     0.1000   -0.0006
   180        0.6489             nan     0.1000   -0.0005
   200        0.6373             nan     0.1000   -0.0008
   220        0.6286             nan     0.1000   -0.0007
   240        0.6160             nan     0.1000   -0.0010
   260        0.6047             nan     0.1000   -0.0008
   280        0.5955             nan     0.1000   -0.0008
   300        0.5862             nan     0.1000   -0.0009
   320        0.5789             nan     0.1000   -0.0008
   340        0.5714             nan     0.1000   -0.0009
   360        0.5633             nan     0.1000   -0.0003
   380        0.5557             nan     0.1000   -0.0009
   400        0.5485             nan     0.1000   -0.0014
   420        0.5408             nan     0.1000   -0.0009
   440        0.5318             nan     0.1000   -0.0002
   460        0.5249             nan     0.1000   -0.0014
   480        0.5167             nan     0.1000   -0.0002
   500        0.5120             nan     0.1000   -0.0011
   520        0.5058             nan     0.1000   -0.0012
   540        0.5006             nan     0.1000   -0.0013
   560        0.4971             nan     0.1000   -0.0010
   580        0.4924             nan     0.1000   -0.0007
   600        0.4846             nan     0.1000   -0.0004
   620        0.4792             nan     0.1000   -0.0008
   640        0.4758             nan     0.1000   -0.0015
   660        0.4714             nan     0.1000   -0.0010
   680        0.4660             nan     0.1000   -0.0008
   700        0.4599             nan     0.1000   -0.0012
   720        0.4559             nan     0.1000   -0.0010
   740        0.4500             nan     0.1000   -0.0010
   760        0.4451             nan     0.1000   -0.0009
   780        0.4414             nan     0.1000   -0.0009
   800        0.4364             nan     0.1000   -0.0005
   820        0.4332             nan     0.1000   -0.0012
   840        0.4272             nan     0.1000   -0.0003
   860        0.4239             nan     0.1000   -0.0010
   880        0.4193             nan     0.1000   -0.0004
   900        0.4162             nan     0.1000   -0.0008
   920        0.4125             nan     0.1000   -0.0012
   940        0.4099             nan     0.1000   -0.0002
   960        0.4062             nan     0.1000   -0.0008
   980        0.4029             nan     0.1000   -0.0008
  1000        0.3991             nan     0.1000   -0.0009
  1020        0.3951             nan     0.1000   -0.0013
  1040        0.3925             nan     0.1000   -0.0009
  1060        0.3901             nan     0.1000   -0.0010
  1080        0.3867             nan     0.1000   -0.0007
  1100        0.3847             nan     0.1000   -0.0004

- Fold02.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold02.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2540             nan     0.1000    0.0404
     2        1.1898             nan     0.1000    0.0310
     3        1.1307             nan     0.1000    0.0264
     4        1.0856             nan     0.1000    0.0225
     5        1.0468             nan     0.1000    0.0164
     6        1.0195             nan     0.1000    0.0114
     7        0.9902             nan     0.1000    0.0138
     8        0.9675             nan     0.1000    0.0115
     9        0.9455             nan     0.1000    0.0101
    10        0.9300             nan     0.1000    0.0063
    20        0.8279             nan     0.1000    0.0025
    40        0.7530             nan     0.1000   -0.0001
    60        0.7090             nan     0.1000   -0.0010
    80        0.6735             nan     0.1000   -0.0008
   100        0.6503             nan     0.1000    0.0004
   120        0.6293             nan     0.1000   -0.0013
   140        0.6086             nan     0.1000   -0.0002
   160        0.5857             nan     0.1000    0.0000
   180        0.5690             nan     0.1000   -0.0010
   200        0.5526             nan     0.1000   -0.0007
   220        0.5388             nan     0.1000   -0.0008
   240        0.5266             nan     0.1000   -0.0010
   260        0.5136             nan     0.1000   -0.0010
   280        0.4990             nan     0.1000   -0.0012
   300        0.4930             nan     0.1000   -0.0014
   320        0.4837             nan     0.1000   -0.0010
   340        0.4738             nan     0.1000   -0.0010
   360        0.4628             nan     0.1000   -0.0016
   380        0.4519             nan     0.1000   -0.0006
   400        0.4459             nan     0.1000   -0.0022
   420        0.4393             nan     0.1000   -0.0010
   440        0.4326             nan     0.1000   -0.0004
   460        0.4229             nan     0.1000   -0.0006
   480        0.4142             nan     0.1000   -0.0010
   500        0.4059             nan     0.1000   -0.0007
   520        0.3980             nan     0.1000   -0.0008
   540        0.3914             nan     0.1000   -0.0009
   560        0.3834             nan     0.1000   -0.0016
   580        0.3773             nan     0.1000   -0.0008
   600        0.3705             nan     0.1000   -0.0009
   620        0.3658             nan     0.1000   -0.0003
   640        0.3604             nan     0.1000   -0.0014
   660        0.3572             nan     0.1000   -0.0015
   680        0.3506             nan     0.1000   -0.0007
   700        0.3456             nan     0.1000   -0.0016
   720        0.3409             nan     0.1000   -0.0007
   740        0.3358             nan     0.1000   -0.0018
   760        0.3303             nan     0.1000   -0.0011
   780        0.3257             nan     0.1000   -0.0004
   800        0.3200             nan     0.1000   -0.0008
   820        0.3156             nan     0.1000   -0.0011
   840        0.3111             nan     0.1000   -0.0004
   860        0.3065             nan     0.1000   -0.0008
   880        0.3015             nan     0.1000   -0.0012
   900        0.2983             nan     0.1000   -0.0015
   920        0.2937             nan     0.1000   -0.0004
   940        0.2898             nan     0.1000   -0.0012
   960        0.2843             nan     0.1000   -0.0003
   980        0.2815             nan     0.1000   -0.0005
  1000        0.2774             nan     0.1000   -0.0007
  1020        0.2747             nan     0.1000   -0.0008
  1040        0.2710             nan     0.1000   -0.0006
  1060        0.2675             nan     0.1000   -0.0009
  1080        0.2645             nan     0.1000   -0.0009
  1100        0.2610             nan     0.1000   -0.0007

- Fold02.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3261             nan     0.0100    0.0028
     2        1.3206             nan     0.0100    0.0028
     3        1.3153             nan     0.0100    0.0027
     4        1.3093             nan     0.0100    0.0027
     5        1.3036             nan     0.0100    0.0026
     6        1.2989             nan     0.0100    0.0026
     7        1.2945             nan     0.0100    0.0025
     8        1.2905             nan     0.0100    0.0024
     9        1.2858             nan     0.0100    0.0024
    10        1.2804             nan     0.0100    0.0022
    20        1.2384             nan     0.0100    0.0020
    40        1.1729             nan     0.0100    0.0013
    60        1.1273             nan     0.0100    0.0010
    80        1.0898             nan     0.0100    0.0008
   100        1.0602             nan     0.0100    0.0006
   120        1.0353             nan     0.0100    0.0005
   140        1.0154             nan     0.0100    0.0005
   160        0.9974             nan     0.0100    0.0003
   180        0.9821             nan     0.0100    0.0002
   200        0.9689             nan     0.0100    0.0002
   220        0.9567             nan     0.0100    0.0002
   240        0.9457             nan     0.0100    0.0001
   260        0.9358             nan     0.0100    0.0000
   280        0.9270             nan     0.0100    0.0001
   300        0.9188             nan     0.0100    0.0002
   320        0.9111             nan     0.0100    0.0001
   340        0.9041             nan     0.0100    0.0000
   360        0.8978             nan     0.0100   -0.0000
   380        0.8921             nan     0.0100   -0.0000
   400        0.8864             nan     0.0100    0.0001
   420        0.8815             nan     0.0100   -0.0000
   440        0.8770             nan     0.0100    0.0000
   460        0.8723             nan     0.0100    0.0000
   480        0.8677             nan     0.0100    0.0001
   500        0.8637             nan     0.0100   -0.0000
   520        0.8597             nan     0.0100    0.0001
   540        0.8562             nan     0.0100   -0.0000
   560        0.8526             nan     0.0100    0.0000
   580        0.8497             nan     0.0100    0.0000
   600        0.8461             nan     0.0100    0.0000
   620        0.8435             nan     0.0100    0.0000
   640        0.8405             nan     0.0100   -0.0001
   660        0.8378             nan     0.0100   -0.0001
   680        0.8351             nan     0.0100   -0.0001
   700        0.8325             nan     0.0100   -0.0001
   720        0.8298             nan     0.0100   -0.0000
   740        0.8272             nan     0.0100   -0.0000
   760        0.8246             nan     0.0100    0.0000
   780        0.8223             nan     0.0100   -0.0000
   800        0.8200             nan     0.0100   -0.0000
   820        0.8179             nan     0.0100   -0.0001
   840        0.8157             nan     0.0100   -0.0001
   860        0.8142             nan     0.0100   -0.0002
   880        0.8123             nan     0.0100   -0.0001
   900        0.8106             nan     0.0100   -0.0001
   920        0.8088             nan     0.0100    0.0000
   940        0.8070             nan     0.0100   -0.0000
   960        0.8056             nan     0.0100   -0.0001
   980        0.8040             nan     0.0100   -0.0000
  1000        0.8023             nan     0.0100   -0.0000
  1020        0.8009             nan     0.0100   -0.0001
  1040        0.7992             nan     0.0100   -0.0001
  1060        0.7977             nan     0.0100   -0.0000
  1080        0.7962             nan     0.0100   -0.0000
  1100        0.7951             nan     0.0100   -0.0001

- Fold03.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3249             nan     0.0100    0.0036
     2        1.3180             nan     0.0100    0.0035
     3        1.3107             nan     0.0100    0.0035
     4        1.3031             nan     0.0100    0.0032
     5        1.2963             nan     0.0100    0.0036
     6        1.2894             nan     0.0100    0.0031
     7        1.2827             nan     0.0100    0.0032
     8        1.2762             nan     0.0100    0.0032
     9        1.2701             nan     0.0100    0.0027
    10        1.2638             nan     0.0100    0.0029
    20        1.2079             nan     0.0100    0.0026
    40        1.1237             nan     0.0100    0.0019
    60        1.0619             nan     0.0100    0.0013
    80        1.0148             nan     0.0100    0.0009
   100        0.9771             nan     0.0100    0.0007
   120        0.9488             nan     0.0100    0.0006
   140        0.9262             nan     0.0100    0.0004
   160        0.9073             nan     0.0100    0.0003
   180        0.8918             nan     0.0100    0.0002
   200        0.8786             nan     0.0100    0.0002
   220        0.8662             nan     0.0100    0.0002
   240        0.8556             nan     0.0100    0.0003
   260        0.8466             nan     0.0100    0.0001
   280        0.8381             nan     0.0100    0.0000
   300        0.8301             nan     0.0100    0.0000
   320        0.8224             nan     0.0100    0.0000
   340        0.8156             nan     0.0100    0.0000
   360        0.8093             nan     0.0100    0.0001
   380        0.8036             nan     0.0100    0.0001
   400        0.7983             nan     0.0100   -0.0001
   420        0.7931             nan     0.0100   -0.0001
   440        0.7886             nan     0.0100   -0.0000
   460        0.7842             nan     0.0100    0.0000
   480        0.7801             nan     0.0100   -0.0000
   500        0.7763             nan     0.0100   -0.0001
   520        0.7728             nan     0.0100   -0.0001
   540        0.7691             nan     0.0100    0.0000
   560        0.7656             nan     0.0100   -0.0002
   580        0.7623             nan     0.0100   -0.0000
   600        0.7592             nan     0.0100   -0.0000
   620        0.7558             nan     0.0100    0.0000
   640        0.7529             nan     0.0100   -0.0000
   660        0.7499             nan     0.0100   -0.0001
   680        0.7467             nan     0.0100   -0.0001
   700        0.7440             nan     0.0100   -0.0000
   720        0.7411             nan     0.0100   -0.0001
   740        0.7389             nan     0.0100   -0.0000
   760        0.7360             nan     0.0100   -0.0000
   780        0.7339             nan     0.0100   -0.0001
   800        0.7314             nan     0.0100   -0.0000
   820        0.7291             nan     0.0100   -0.0000
   840        0.7265             nan     0.0100   -0.0001
   860        0.7242             nan     0.0100   -0.0001
   880        0.7216             nan     0.0100   -0.0000
   900        0.7196             nan     0.0100   -0.0000
   920        0.7174             nan     0.0100   -0.0001
   940        0.7152             nan     0.0100   -0.0001
   960        0.7129             nan     0.0100   -0.0001
   980        0.7108             nan     0.0100   -0.0002
  1000        0.7084             nan     0.0100   -0.0001
  1020        0.7061             nan     0.0100   -0.0001
  1040        0.7041             nan     0.0100   -0.0001
  1060        0.7023             nan     0.0100   -0.0001
  1080        0.7006             nan     0.0100   -0.0001
  1100        0.6986             nan     0.0100   -0.0001

- Fold03.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3236             nan     0.0100    0.0035
     2        1.3155             nan     0.0100    0.0039
     3        1.3079             nan     0.0100    0.0038
     4        1.3006             nan     0.0100    0.0037
     5        1.2929             nan     0.0100    0.0037
     6        1.2855             nan     0.0100    0.0034
     7        1.2779             nan     0.0100    0.0037
     8        1.2707             nan     0.0100    0.0033
     9        1.2638             nan     0.0100    0.0033
    10        1.2567             nan     0.0100    0.0033
    20        1.1948             nan     0.0100    0.0026
    40        1.0992             nan     0.0100    0.0019
    60        1.0289             nan     0.0100    0.0014
    80        0.9787             nan     0.0100    0.0010
   100        0.9393             nan     0.0100    0.0008
   120        0.9115             nan     0.0100    0.0003
   140        0.8881             nan     0.0100    0.0006
   160        0.8681             nan     0.0100    0.0002
   180        0.8523             nan     0.0100    0.0001
   200        0.8376             nan     0.0100    0.0003
   220        0.8247             nan     0.0100    0.0003
   240        0.8137             nan     0.0100   -0.0000
   260        0.8032             nan     0.0100   -0.0000
   280        0.7934             nan     0.0100    0.0002
   300        0.7854             nan     0.0100   -0.0000
   320        0.7781             nan     0.0100    0.0000
   340        0.7711             nan     0.0100   -0.0001
   360        0.7652             nan     0.0100   -0.0001
   380        0.7591             nan     0.0100   -0.0002
   400        0.7538             nan     0.0100    0.0000
   420        0.7481             nan     0.0100   -0.0001
   440        0.7430             nan     0.0100   -0.0000
   460        0.7383             nan     0.0100   -0.0001
   480        0.7339             nan     0.0100   -0.0000
   500        0.7296             nan     0.0100   -0.0003
   520        0.7256             nan     0.0100   -0.0001
   540        0.7217             nan     0.0100   -0.0002
   560        0.7177             nan     0.0100   -0.0002
   580        0.7135             nan     0.0100   -0.0001
   600        0.7101             nan     0.0100   -0.0001
   620        0.7062             nan     0.0100   -0.0001
   640        0.7026             nan     0.0100   -0.0001
   660        0.6993             nan     0.0100   -0.0000
   680        0.6959             nan     0.0100   -0.0002
   700        0.6923             nan     0.0100   -0.0000
   720        0.6892             nan     0.0100   -0.0000
   740        0.6862             nan     0.0100   -0.0001
   760        0.6832             nan     0.0100   -0.0001
   780        0.6799             nan     0.0100   -0.0001
   800        0.6769             nan     0.0100   -0.0000
   820        0.6741             nan     0.0100   -0.0001
   840        0.6707             nan     0.0100   -0.0000
   860        0.6676             nan     0.0100   -0.0001
   880        0.6651             nan     0.0100    0.0000
   900        0.6622             nan     0.0100   -0.0000
   920        0.6594             nan     0.0100   -0.0001
   940        0.6565             nan     0.0100   -0.0001
   960        0.6537             nan     0.0100   -0.0001
   980        0.6517             nan     0.0100   -0.0001
  1000        0.6495             nan     0.0100   -0.0001
  1020        0.6467             nan     0.0100   -0.0001
  1040        0.6442             nan     0.0100   -0.0002
  1060        0.6413             nan     0.0100   -0.0001
  1080        0.6385             nan     0.0100   -0.0002
  1100        0.6359             nan     0.0100   -0.0001

- Fold03.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2831             nan     0.1000    0.0271
     2        1.2389             nan     0.1000    0.0223
     3        1.1998             nan     0.1000    0.0192
     4        1.1725             nan     0.1000    0.0143
     5        1.1441             nan     0.1000    0.0131
     6        1.1211             nan     0.1000    0.0106
     7        1.1030             nan     0.1000    0.0084
     8        1.0884             nan     0.1000    0.0070
     9        1.0697             nan     0.1000    0.0081
    10        1.0576             nan     0.1000    0.0051
    20        0.9660             nan     0.1000    0.0030
    40        0.8855             nan     0.1000    0.0005
    60        0.8441             nan     0.1000   -0.0000
    80        0.8197             nan     0.1000   -0.0005
   100        0.8004             nan     0.1000   -0.0005
   120        0.7885             nan     0.1000   -0.0006
   140        0.7779             nan     0.1000   -0.0006
   160        0.7713             nan     0.1000   -0.0009
   180        0.7658             nan     0.1000   -0.0018
   200        0.7596             nan     0.1000   -0.0007
   220        0.7532             nan     0.1000   -0.0007
   240        0.7484             nan     0.1000   -0.0002
   260        0.7436             nan     0.1000   -0.0004
   280        0.7381             nan     0.1000   -0.0007
   300        0.7356             nan     0.1000   -0.0007
   320        0.7322             nan     0.1000   -0.0002
   340        0.7275             nan     0.1000   -0.0012
   360        0.7232             nan     0.1000   -0.0011
   380        0.7207             nan     0.1000   -0.0013
   400        0.7157             nan     0.1000   -0.0015
   420        0.7146             nan     0.1000   -0.0008
   440        0.7127             nan     0.1000   -0.0008
   460        0.7106             nan     0.1000   -0.0002
   480        0.7067             nan     0.1000   -0.0011
   500        0.7029             nan     0.1000   -0.0006
   520        0.7003             nan     0.1000   -0.0011
   540        0.6979             nan     0.1000   -0.0005
   560        0.6955             nan     0.1000   -0.0005
   580        0.6948             nan     0.1000   -0.0004
   600        0.6928             nan     0.1000   -0.0013
   620        0.6912             nan     0.1000   -0.0010
   640        0.6889             nan     0.1000   -0.0007
   660        0.6874             nan     0.1000   -0.0006
   680        0.6865             nan     0.1000   -0.0011
   700        0.6848             nan     0.1000   -0.0004
   720        0.6830             nan     0.1000   -0.0008
   740        0.6813             nan     0.1000   -0.0006
   760        0.6792             nan     0.1000   -0.0001
   780        0.6771             nan     0.1000   -0.0005
   800        0.6741             nan     0.1000   -0.0006
   820        0.6725             nan     0.1000   -0.0009
   840        0.6716             nan     0.1000   -0.0008
   860        0.6700             nan     0.1000   -0.0007
   880        0.6686             nan     0.1000   -0.0005
   900        0.6674             nan     0.1000   -0.0007
   920        0.6672             nan     0.1000   -0.0012
   940        0.6652             nan     0.1000   -0.0011
   960        0.6645             nan     0.1000   -0.0010
   980        0.6634             nan     0.1000   -0.0005
  1000        0.6613             nan     0.1000   -0.0009
  1020        0.6601             nan     0.1000   -0.0005
  1040        0.6580             nan     0.1000   -0.0005
  1060        0.6565             nan     0.1000   -0.0010
  1080        0.6558             nan     0.1000   -0.0006
  1100        0.6551             nan     0.1000   -0.0007

- Fold03.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2632             nan     0.1000    0.0347
     2        1.2124             nan     0.1000    0.0250
     3        1.1619             nan     0.1000    0.0225
     4        1.1188             nan     0.1000    0.0219
     5        1.0840             nan     0.1000    0.0177
     6        1.0517             nan     0.1000    0.0153
     7        1.0278             nan     0.1000    0.0116
     8        1.0087             nan     0.1000    0.0097
     9        0.9889             nan     0.1000    0.0100
    10        0.9717             nan     0.1000    0.0079
    20        0.8754             nan     0.1000    0.0034
    40        0.7984             nan     0.1000   -0.0000
    60        0.7631             nan     0.1000   -0.0017
    80        0.7391             nan     0.1000    0.0001
   100        0.7182             nan     0.1000   -0.0009
   120        0.7017             nan     0.1000   -0.0015
   140        0.6828             nan     0.1000   -0.0015
   160        0.6695             nan     0.1000   -0.0012
   180        0.6592             nan     0.1000   -0.0005
   200        0.6507             nan     0.1000   -0.0014
   220        0.6395             nan     0.1000   -0.0008
   240        0.6239             nan     0.1000   -0.0010
   260        0.6144             nan     0.1000   -0.0013
   280        0.6037             nan     0.1000   -0.0009
   300        0.5920             nan     0.1000   -0.0010
   320        0.5823             nan     0.1000   -0.0010
   340        0.5745             nan     0.1000   -0.0008
   360        0.5656             nan     0.1000   -0.0007
   380        0.5584             nan     0.1000   -0.0010
   400        0.5515             nan     0.1000   -0.0007
   420        0.5438             nan     0.1000   -0.0008
   440        0.5393             nan     0.1000   -0.0006
   460        0.5336             nan     0.1000   -0.0007
   480        0.5268             nan     0.1000   -0.0005
   500        0.5214             nan     0.1000   -0.0014
   520        0.5148             nan     0.1000   -0.0013
   540        0.5091             nan     0.1000   -0.0008
   560        0.5028             nan     0.1000   -0.0007
   580        0.4979             nan     0.1000   -0.0009
   600        0.4938             nan     0.1000   -0.0008
   620        0.4904             nan     0.1000   -0.0014
   640        0.4849             nan     0.1000   -0.0015
   660        0.4802             nan     0.1000   -0.0013
   680        0.4764             nan     0.1000   -0.0009
   700        0.4712             nan     0.1000   -0.0007
   720        0.4684             nan     0.1000   -0.0004
   740        0.4626             nan     0.1000   -0.0008
   760        0.4591             nan     0.1000   -0.0007
   780        0.4553             nan     0.1000   -0.0007
   800        0.4524             nan     0.1000   -0.0010
   820        0.4460             nan     0.1000   -0.0006
   840        0.4420             nan     0.1000   -0.0009
   860        0.4385             nan     0.1000   -0.0005
   880        0.4340             nan     0.1000   -0.0010
   900        0.4313             nan     0.1000   -0.0008
   920        0.4273             nan     0.1000   -0.0008
   940        0.4248             nan     0.1000   -0.0005
   960        0.4219             nan     0.1000   -0.0012
   980        0.4196             nan     0.1000   -0.0008
  1000        0.4158             nan     0.1000   -0.0010
  1020        0.4112             nan     0.1000   -0.0005
  1040        0.4100             nan     0.1000   -0.0014
  1060        0.4063             nan     0.1000   -0.0007
  1080        0.4035             nan     0.1000   -0.0004
  1100        0.3999             nan     0.1000   -0.0010

- Fold03.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold03.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 13: title.Capt has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2541             nan     0.1000    0.0371
     2        1.1949             nan     0.1000    0.0295
     3        1.1434             nan     0.1000    0.0244
     4        1.0964             nan     0.1000    0.0221
     5        1.0615             nan     0.1000    0.0181
     6        1.0256             nan     0.1000    0.0165
     7        0.9941             nan     0.1000    0.0133
     8        0.9683             nan     0.1000    0.0119
     9        0.9492             nan     0.1000    0.0090
    10        0.9388             nan     0.1000    0.0024
    20        0.8373             nan     0.1000    0.0019
    40        0.7536             nan     0.1000   -0.0009
    60        0.7075             nan     0.1000   -0.0010
    80        0.6721             nan     0.1000   -0.0007
   100        0.6421             nan     0.1000   -0.0005
   120        0.6193             nan     0.1000   -0.0024
   140        0.6027             nan     0.1000   -0.0008
   160        0.5867             nan     0.1000   -0.0018
   180        0.5683             nan     0.1000   -0.0000
   200        0.5540             nan     0.1000   -0.0010
   220        0.5369             nan     0.1000   -0.0013
   240        0.5231             nan     0.1000   -0.0010
   260        0.5118             nan     0.1000   -0.0013
   280        0.4986             nan     0.1000   -0.0012
   300        0.4901             nan     0.1000   -0.0013
   320        0.4780             nan     0.1000   -0.0009
   340        0.4710             nan     0.1000   -0.0016
   360        0.4615             nan     0.1000   -0.0014
   380        0.4505             nan     0.1000   -0.0017
   400        0.4427             nan     0.1000   -0.0013
   420        0.4347             nan     0.1000   -0.0013
   440        0.4257             nan     0.1000   -0.0015
   460        0.4177             nan     0.1000   -0.0010
   480        0.4092             nan     0.1000   -0.0009
   500        0.4016             nan     0.1000   -0.0017
   520        0.3952             nan     0.1000   -0.0009
   540        0.3900             nan     0.1000   -0.0014
   560        0.3835             nan     0.1000   -0.0007
   580        0.3776             nan     0.1000   -0.0005
   600        0.3718             nan     0.1000   -0.0006
   620        0.3648             nan     0.1000   -0.0005
   640        0.3584             nan     0.1000   -0.0011
   660        0.3531             nan     0.1000   -0.0006
   680        0.3484             nan     0.1000   -0.0011
   700        0.3414             nan     0.1000   -0.0009
   720        0.3387             nan     0.1000   -0.0014
   740        0.3345             nan     0.1000   -0.0007
   760        0.3300             nan     0.1000   -0.0011
   780        0.3265             nan     0.1000   -0.0014
   800        0.3229             nan     0.1000   -0.0013
   820        0.3184             nan     0.1000   -0.0008
   840        0.3140             nan     0.1000   -0.0014
   860        0.3091             nan     0.1000   -0.0010
   880        0.3060             nan     0.1000   -0.0006
   900        0.3002             nan     0.1000   -0.0008
   920        0.2966             nan     0.1000   -0.0005
   940        0.2930             nan     0.1000   -0.0010
   960        0.2897             nan     0.1000   -0.0005
   980        0.2857             nan     0.1000   -0.0014
  1000        0.2823             nan     0.1000   -0.0013
  1020        0.2789             nan     0.1000   -0.0013
  1040        0.2742             nan     0.1000   -0.0008
  1060        0.2716             nan     0.1000   -0.0008
  1080        0.2690             nan     0.1000   -0.0010
  1100        0.2666             nan     0.1000   -0.0011

- Fold03.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3260             nan     0.0100    0.0032
     2        1.3203             nan     0.0100    0.0030
     3        1.3142             nan     0.0100    0.0030
     4        1.3080             nan     0.0100    0.0029
     5        1.3018             nan     0.0100    0.0028
     6        1.2958             nan     0.0100    0.0027
     7        1.2899             nan     0.0100    0.0027
     8        1.2839             nan     0.0100    0.0027
     9        1.2787             nan     0.0100    0.0027
    10        1.2732             nan     0.0100    0.0026
    20        1.2271             nan     0.0100    0.0022
    40        1.1519             nan     0.0100    0.0015
    60        1.1019             nan     0.0100    0.0008
    80        1.0647             nan     0.0100    0.0008
   100        1.0340             nan     0.0100    0.0007
   120        1.0082             nan     0.0100    0.0005
   140        0.9869             nan     0.0100    0.0004
   160        0.9691             nan     0.0100    0.0002
   180        0.9536             nan     0.0100    0.0000
   200        0.9396             nan     0.0100    0.0003
   220        0.9276             nan     0.0100    0.0002
   240        0.9164             nan     0.0100    0.0002
   260        0.9064             nan     0.0100    0.0002
   280        0.8978             nan     0.0100    0.0000
   300        0.8896             nan     0.0100    0.0002
   320        0.8826             nan     0.0100    0.0001
   340        0.8754             nan     0.0100    0.0001
   360        0.8693             nan     0.0100    0.0002
   380        0.8636             nan     0.0100    0.0001
   400        0.8585             nan     0.0100    0.0000
   420        0.8538             nan     0.0100   -0.0001
   440        0.8491             nan     0.0100    0.0000
   460        0.8445             nan     0.0100    0.0001
   480        0.8403             nan     0.0100    0.0000
   500        0.8365             nan     0.0100   -0.0002
   520        0.8327             nan     0.0100    0.0000
   540        0.8289             nan     0.0100   -0.0000
   560        0.8253             nan     0.0100    0.0000
   580        0.8222             nan     0.0100    0.0000
   600        0.8193             nan     0.0100    0.0000
   620        0.8163             nan     0.0100    0.0000
   640        0.8136             nan     0.0100   -0.0000
   660        0.8107             nan     0.0100   -0.0000
   680        0.8078             nan     0.0100   -0.0000
   700        0.8054             nan     0.0100   -0.0000
   720        0.8029             nan     0.0100   -0.0001
   740        0.8005             nan     0.0100   -0.0000
   760        0.7982             nan     0.0100   -0.0000
   780        0.7960             nan     0.0100    0.0000
   800        0.7938             nan     0.0100   -0.0000
   820        0.7917             nan     0.0100    0.0000
   840        0.7898             nan     0.0100   -0.0000
   860        0.7881             nan     0.0100   -0.0001
   880        0.7861             nan     0.0100   -0.0001
   900        0.7842             nan     0.0100   -0.0001
   920        0.7825             nan     0.0100   -0.0000
   940        0.7806             nan     0.0100   -0.0000
   960        0.7789             nan     0.0100   -0.0001
   980        0.7774             nan     0.0100   -0.0001
  1000        0.7757             nan     0.0100   -0.0000
  1020        0.7741             nan     0.0100    0.0000
  1040        0.7725             nan     0.0100   -0.0000
  1060        0.7710             nan     0.0100   -0.0000
  1080        0.7696             nan     0.0100   -0.0000
  1100        0.7682             nan     0.0100   -0.0001

- Fold04.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3241             nan     0.0100    0.0036
     2        1.3162             nan     0.0100    0.0039
     3        1.3090             nan     0.0100    0.0036
     4        1.3017             nan     0.0100    0.0035
     5        1.2945             nan     0.0100    0.0037
     6        1.2878             nan     0.0100    0.0035
     7        1.2806             nan     0.0100    0.0034
     8        1.2739             nan     0.0100    0.0034
     9        1.2671             nan     0.0100    0.0033
    10        1.2608             nan     0.0100    0.0031
    20        1.2025             nan     0.0100    0.0027
    40        1.1107             nan     0.0100    0.0018
    60        1.0444             nan     0.0100    0.0014
    80        0.9946             nan     0.0100    0.0010
   100        0.9564             nan     0.0100    0.0006
   120        0.9263             nan     0.0100    0.0003
   140        0.9029             nan     0.0100    0.0005
   160        0.8834             nan     0.0100    0.0002
   180        0.8670             nan     0.0100    0.0002
   200        0.8531             nan     0.0100    0.0001
   220        0.8424             nan     0.0100    0.0002
   240        0.8330             nan     0.0100    0.0001
   260        0.8240             nan     0.0100    0.0001
   280        0.8159             nan     0.0100    0.0001
   300        0.8083             nan     0.0100    0.0000
   320        0.8009             nan     0.0100    0.0001
   340        0.7948             nan     0.0100    0.0001
   360        0.7885             nan     0.0100   -0.0000
   380        0.7828             nan     0.0100    0.0001
   400        0.7780             nan     0.0100   -0.0001
   420        0.7728             nan     0.0100    0.0000
   440        0.7685             nan     0.0100    0.0001
   460        0.7640             nan     0.0100   -0.0000
   480        0.7600             nan     0.0100   -0.0001
   500        0.7559             nan     0.0100   -0.0002
   520        0.7522             nan     0.0100   -0.0000
   540        0.7485             nan     0.0100   -0.0000
   560        0.7451             nan     0.0100   -0.0001
   580        0.7419             nan     0.0100   -0.0001
   600        0.7392             nan     0.0100   -0.0000
   620        0.7367             nan     0.0100   -0.0001
   640        0.7336             nan     0.0100    0.0000
   660        0.7313             nan     0.0100   -0.0000
   680        0.7286             nan     0.0100   -0.0001
   700        0.7260             nan     0.0100   -0.0001
   720        0.7232             nan     0.0100   -0.0001
   740        0.7204             nan     0.0100   -0.0001
   760        0.7180             nan     0.0100   -0.0001
   780        0.7157             nan     0.0100   -0.0001
   800        0.7130             nan     0.0100    0.0000
   820        0.7109             nan     0.0100   -0.0001
   840        0.7087             nan     0.0100   -0.0001
   860        0.7064             nan     0.0100   -0.0001
   880        0.7040             nan     0.0100   -0.0000
   900        0.7018             nan     0.0100   -0.0001
   920        0.6996             nan     0.0100   -0.0001
   940        0.6973             nan     0.0100   -0.0002
   960        0.6954             nan     0.0100   -0.0000
   980        0.6934             nan     0.0100   -0.0001
  1000        0.6913             nan     0.0100   -0.0000
  1020        0.6890             nan     0.0100   -0.0000
  1040        0.6873             nan     0.0100   -0.0000
  1060        0.6857             nan     0.0100   -0.0001
  1080        0.6837             nan     0.0100   -0.0001
  1100        0.6819             nan     0.0100   -0.0001

- Fold04.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3236             nan     0.0100    0.0038
     2        1.3158             nan     0.0100    0.0036
     3        1.3074             nan     0.0100    0.0039
     4        1.2996             nan     0.0100    0.0040
     5        1.2918             nan     0.0100    0.0037
     6        1.2843             nan     0.0100    0.0037
     7        1.2766             nan     0.0100    0.0037
     8        1.2692             nan     0.0100    0.0034
     9        1.2622             nan     0.0100    0.0036
    10        1.2551             nan     0.0100    0.0035
    20        1.1898             nan     0.0100    0.0026
    40        1.0905             nan     0.0100    0.0021
    60        1.0166             nan     0.0100    0.0015
    80        0.9620             nan     0.0100    0.0011
   100        0.9211             nan     0.0100    0.0007
   120        0.8924             nan     0.0100    0.0006
   140        0.8669             nan     0.0100    0.0004
   160        0.8468             nan     0.0100    0.0002
   180        0.8306             nan     0.0100    0.0001
   200        0.8163             nan     0.0100    0.0001
   220        0.8039             nan     0.0100    0.0000
   240        0.7936             nan     0.0100   -0.0000
   260        0.7839             nan     0.0100    0.0001
   280        0.7751             nan     0.0100    0.0001
   300        0.7670             nan     0.0100    0.0002
   320        0.7597             nan     0.0100    0.0002
   340        0.7533             nan     0.0100   -0.0001
   360        0.7468             nan     0.0100    0.0000
   380        0.7409             nan     0.0100   -0.0001
   400        0.7356             nan     0.0100   -0.0000
   420        0.7308             nan     0.0100   -0.0000
   440        0.7254             nan     0.0100   -0.0001
   460        0.7205             nan     0.0100   -0.0001
   480        0.7157             nan     0.0100   -0.0001
   500        0.7113             nan     0.0100   -0.0001
   520        0.7070             nan     0.0100   -0.0001
   540        0.7028             nan     0.0100   -0.0000
   560        0.6988             nan     0.0100   -0.0000
   580        0.6948             nan     0.0100   -0.0001
   600        0.6911             nan     0.0100   -0.0002
   620        0.6870             nan     0.0100   -0.0001
   640        0.6831             nan     0.0100   -0.0001
   660        0.6795             nan     0.0100   -0.0000
   680        0.6766             nan     0.0100   -0.0001
   700        0.6734             nan     0.0100   -0.0001
   720        0.6703             nan     0.0100   -0.0001
   740        0.6672             nan     0.0100   -0.0001
   760        0.6641             nan     0.0100   -0.0001
   780        0.6610             nan     0.0100   -0.0001
   800        0.6578             nan     0.0100   -0.0001
   820        0.6549             nan     0.0100   -0.0001
   840        0.6523             nan     0.0100   -0.0002
   860        0.6495             nan     0.0100   -0.0002
   880        0.6468             nan     0.0100   -0.0002
   900        0.6441             nan     0.0100   -0.0002
   920        0.6413             nan     0.0100   -0.0001
   940        0.6383             nan     0.0100   -0.0001
   960        0.6355             nan     0.0100   -0.0000
   980        0.6329             nan     0.0100   -0.0001
  1000        0.6303             nan     0.0100   -0.0001
  1020        0.6277             nan     0.0100   -0.0001
  1040        0.6250             nan     0.0100   -0.0001
  1060        0.6229             nan     0.0100   -0.0001
  1080        0.6205             nan     0.0100   -0.0002
  1100        0.6179             nan     0.0100   -0.0001

- Fold04.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2744             nan     0.1000    0.0299
     2        1.2218             nan     0.1000    0.0240
     3        1.1791             nan     0.1000    0.0202
     4        1.1433             nan     0.1000    0.0165
     5        1.1190             nan     0.1000    0.0133
     6        1.1009             nan     0.1000    0.0082
     7        1.0791             nan     0.1000    0.0109
     8        1.0593             nan     0.1000    0.0092
     9        1.0424             nan     0.1000    0.0072
    10        1.0282             nan     0.1000    0.0064
    20        0.9353             nan     0.1000    0.0024
    40        0.8547             nan     0.1000    0.0004
    60        0.8185             nan     0.1000    0.0002
    80        0.7943             nan     0.1000   -0.0006
   100        0.7768             nan     0.1000   -0.0004
   120        0.7654             nan     0.1000   -0.0006
   140        0.7536             nan     0.1000   -0.0003
   160        0.7451             nan     0.1000   -0.0003
   180        0.7364             nan     0.1000   -0.0007
   200        0.7305             nan     0.1000   -0.0008
   220        0.7242             nan     0.1000   -0.0011
   240        0.7176             nan     0.1000   -0.0012
   260        0.7123             nan     0.1000   -0.0010
   280        0.7093             nan     0.1000   -0.0006
   300        0.7056             nan     0.1000   -0.0010
   320        0.7005             nan     0.1000   -0.0003
   340        0.6967             nan     0.1000   -0.0012
   360        0.6933             nan     0.1000   -0.0009
   380        0.6892             nan     0.1000   -0.0013
   400        0.6863             nan     0.1000   -0.0008
   420        0.6834             nan     0.1000   -0.0005
   440        0.6808             nan     0.1000   -0.0010
   460        0.6774             nan     0.1000   -0.0004
   480        0.6750             nan     0.1000   -0.0014
   500        0.6728             nan     0.1000   -0.0006
   520        0.6701             nan     0.1000   -0.0009
   540        0.6669             nan     0.1000   -0.0014
   560        0.6646             nan     0.1000   -0.0008
   580        0.6635             nan     0.1000   -0.0010
   600        0.6606             nan     0.1000   -0.0006
   620        0.6590             nan     0.1000   -0.0004
   640        0.6572             nan     0.1000   -0.0006
   660        0.6542             nan     0.1000   -0.0011
   680        0.6519             nan     0.1000   -0.0008
   700        0.6496             nan     0.1000   -0.0008
   720        0.6491             nan     0.1000   -0.0011
   740        0.6466             nan     0.1000   -0.0007
   760        0.6436             nan     0.1000   -0.0005
   780        0.6415             nan     0.1000   -0.0003
   800        0.6399             nan     0.1000   -0.0006
   820        0.6372             nan     0.1000   -0.0015
   840        0.6367             nan     0.1000   -0.0003
   860        0.6351             nan     0.1000   -0.0004
   880        0.6335             nan     0.1000   -0.0013
   900        0.6323             nan     0.1000   -0.0005
   920        0.6304             nan     0.1000   -0.0007
   940        0.6283             nan     0.1000   -0.0009
   960        0.6269             nan     0.1000   -0.0003
   980        0.6248             nan     0.1000   -0.0005
  1000        0.6239             nan     0.1000   -0.0005
  1020        0.6217             nan     0.1000   -0.0004
  1040        0.6199             nan     0.1000   -0.0009
  1060        0.6179             nan     0.1000   -0.0018
  1080        0.6167             nan     0.1000   -0.0008
  1100        0.6147             nan     0.1000   -0.0004

- Fold04.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2643             nan     0.1000    0.0365
     2        1.2028             nan     0.1000    0.0306
     3        1.1541             nan     0.1000    0.0253
     4        1.1120             nan     0.1000    0.0219
     5        1.0730             nan     0.1000    0.0172
     6        1.0413             nan     0.1000    0.0153
     7        1.0146             nan     0.1000    0.0121
     8        0.9915             nan     0.1000    0.0111
     9        0.9718             nan     0.1000    0.0099
    10        0.9546             nan     0.1000    0.0081
    20        0.8505             nan     0.1000    0.0032
    40        0.7783             nan     0.1000   -0.0012
    60        0.7399             nan     0.1000   -0.0021
    80        0.7126             nan     0.1000   -0.0009
   100        0.6908             nan     0.1000   -0.0007
   120        0.6724             nan     0.1000   -0.0013
   140        0.6506             nan     0.1000   -0.0019
   160        0.6344             nan     0.1000    0.0000
   180        0.6239             nan     0.1000   -0.0009
   200        0.6121             nan     0.1000   -0.0018
   220        0.5999             nan     0.1000   -0.0012
   240        0.5898             nan     0.1000   -0.0006
   260        0.5783             nan     0.1000   -0.0003
   280        0.5695             nan     0.1000   -0.0016
   300        0.5577             nan     0.1000   -0.0009
   320        0.5484             nan     0.1000   -0.0010
   340        0.5372             nan     0.1000   -0.0007
   360        0.5289             nan     0.1000   -0.0013
   380        0.5199             nan     0.1000   -0.0006
   400        0.5149             nan     0.1000   -0.0013
   420        0.5074             nan     0.1000   -0.0010
   440        0.5000             nan     0.1000   -0.0008
   460        0.4926             nan     0.1000   -0.0008
   480        0.4863             nan     0.1000   -0.0001
   500        0.4804             nan     0.1000   -0.0009
   520        0.4763             nan     0.1000   -0.0010
   540        0.4696             nan     0.1000   -0.0012
   560        0.4647             nan     0.1000   -0.0008
   580        0.4588             nan     0.1000   -0.0008
   600        0.4545             nan     0.1000   -0.0006
   620        0.4503             nan     0.1000   -0.0017
   640        0.4440             nan     0.1000   -0.0013
   660        0.4402             nan     0.1000   -0.0009
   680        0.4335             nan     0.1000   -0.0009
   700        0.4304             nan     0.1000   -0.0004
   720        0.4263             nan     0.1000   -0.0006
   740        0.4224             nan     0.1000   -0.0008
   760        0.4188             nan     0.1000   -0.0007
   780        0.4149             nan     0.1000   -0.0009
   800        0.4096             nan     0.1000   -0.0004
   820        0.4065             nan     0.1000   -0.0010
   840        0.4015             nan     0.1000   -0.0010
   860        0.3971             nan     0.1000   -0.0004
   880        0.3929             nan     0.1000   -0.0007
   900        0.3892             nan     0.1000   -0.0003
   920        0.3864             nan     0.1000   -0.0005
   940        0.3835             nan     0.1000   -0.0007
   960        0.3811             nan     0.1000   -0.0011
   980        0.3781             nan     0.1000   -0.0009
  1000        0.3765             nan     0.1000   -0.0010
  1020        0.3738             nan     0.1000   -0.0012
  1040        0.3693             nan     0.1000   -0.0007
  1060        0.3684             nan     0.1000   -0.0012
  1080        0.3647             nan     0.1000   -0.0005
  1100        0.3624             nan     0.1000   -0.0010

- Fold04.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold04.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2460             nan     0.1000    0.0371
     2        1.1810             nan     0.1000    0.0320
     3        1.1319             nan     0.1000    0.0241
     4        1.0854             nan     0.1000    0.0185
     5        1.0471             nan     0.1000    0.0190
     6        1.0159             nan     0.1000    0.0166
     7        0.9862             nan     0.1000    0.0139
     8        0.9574             nan     0.1000    0.0117
     9        0.9315             nan     0.1000    0.0096
    10        0.9132             nan     0.1000    0.0070
    20        0.8171             nan     0.1000    0.0022
    40        0.7397             nan     0.1000    0.0009
    60        0.6941             nan     0.1000   -0.0009
    80        0.6582             nan     0.1000   -0.0012
   100        0.6274             nan     0.1000   -0.0011
   120        0.6023             nan     0.1000   -0.0008
   140        0.5818             nan     0.1000   -0.0009
   160        0.5637             nan     0.1000   -0.0017
   180        0.5489             nan     0.1000   -0.0009
   200        0.5378             nan     0.1000   -0.0007
   220        0.5263             nan     0.1000   -0.0015
   240        0.5130             nan     0.1000   -0.0011
   260        0.5003             nan     0.1000   -0.0009
   280        0.4856             nan     0.1000   -0.0010
   300        0.4743             nan     0.1000   -0.0010
   320        0.4636             nan     0.1000   -0.0015
   340        0.4543             nan     0.1000   -0.0015
   360        0.4439             nan     0.1000   -0.0011
   380        0.4373             nan     0.1000   -0.0007
   400        0.4293             nan     0.1000   -0.0016
   420        0.4188             nan     0.1000   -0.0010
   440        0.4094             nan     0.1000   -0.0007
   460        0.3980             nan     0.1000   -0.0013
   480        0.3910             nan     0.1000   -0.0010
   500        0.3846             nan     0.1000   -0.0009
   520        0.3772             nan     0.1000   -0.0007
   540        0.3703             nan     0.1000   -0.0006
   560        0.3637             nan     0.1000   -0.0015
   580        0.3568             nan     0.1000   -0.0019
   600        0.3519             nan     0.1000   -0.0011
   620        0.3467             nan     0.1000   -0.0006
   640        0.3421             nan     0.1000   -0.0009
   660        0.3370             nan     0.1000   -0.0009
   680        0.3316             nan     0.1000   -0.0008
   700        0.3266             nan     0.1000   -0.0008
   720        0.3217             nan     0.1000   -0.0008
   740        0.3167             nan     0.1000   -0.0010
   760        0.3144             nan     0.1000   -0.0010
   780        0.3081             nan     0.1000   -0.0006
   800        0.3020             nan     0.1000   -0.0006
   820        0.2965             nan     0.1000   -0.0008
   840        0.2915             nan     0.1000   -0.0014
   860        0.2875             nan     0.1000   -0.0006
   880        0.2823             nan     0.1000   -0.0009
   900        0.2782             nan     0.1000   -0.0008
   920        0.2741             nan     0.1000   -0.0005
   940        0.2699             nan     0.1000   -0.0011
   960        0.2651             nan     0.1000   -0.0012
   980        0.2613             nan     0.1000   -0.0006
  1000        0.2574             nan     0.1000   -0.0012
  1020        0.2541             nan     0.1000   -0.0007
  1040        0.2496             nan     0.1000   -0.0006
  1060        0.2455             nan     0.1000   -0.0005
  1080        0.2418             nan     0.1000   -0.0009
  1100        0.2375             nan     0.1000   -0.0005

- Fold04.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3253             nan     0.0100    0.0031
     2        1.3198             nan     0.0100    0.0029
     3        1.3140             nan     0.0100    0.0030
     4        1.3081             nan     0.0100    0.0027
     5        1.3029             nan     0.0100    0.0028
     6        1.2974             nan     0.0100    0.0028
     7        1.2915             nan     0.0100    0.0027
     8        1.2864             nan     0.0100    0.0027
     9        1.2812             nan     0.0100    0.0026
    10        1.2761             nan     0.0100    0.0026
    20        1.2285             nan     0.0100    0.0021
    40        1.1566             nan     0.0100    0.0015
    60        1.1087             nan     0.0100    0.0010
    80        1.0710             nan     0.0100    0.0007
   100        1.0396             nan     0.0100    0.0006
   120        1.0140             nan     0.0100    0.0005
   140        0.9921             nan     0.0100    0.0004
   160        0.9726             nan     0.0100    0.0003
   180        0.9571             nan     0.0100    0.0002
   200        0.9433             nan     0.0100    0.0002
   220        0.9314             nan     0.0100    0.0001
   240        0.9202             nan     0.0100    0.0002
   260        0.9102             nan     0.0100   -0.0000
   280        0.9012             nan     0.0100    0.0002
   300        0.8931             nan     0.0100    0.0001
   320        0.8861             nan     0.0100    0.0001
   340        0.8794             nan     0.0100    0.0001
   360        0.8734             nan     0.0100    0.0001
   380        0.8673             nan     0.0100    0.0001
   400        0.8620             nan     0.0100   -0.0001
   420        0.8571             nan     0.0100   -0.0000
   440        0.8521             nan     0.0100   -0.0000
   460        0.8476             nan     0.0100    0.0001
   480        0.8430             nan     0.0100    0.0000
   500        0.8390             nan     0.0100    0.0000
   520        0.8354             nan     0.0100   -0.0000
   540        0.8318             nan     0.0100   -0.0001
   560        0.8283             nan     0.0100    0.0000
   580        0.8250             nan     0.0100    0.0000
   600        0.8218             nan     0.0100   -0.0000
   620        0.8186             nan     0.0100    0.0000
   640        0.8159             nan     0.0100   -0.0000
   660        0.8130             nan     0.0100   -0.0000
   680        0.8097             nan     0.0100    0.0000
   700        0.8072             nan     0.0100    0.0000
   720        0.8045             nan     0.0100   -0.0000
   740        0.8020             nan     0.0100   -0.0000
   760        0.7998             nan     0.0100   -0.0000
   780        0.7976             nan     0.0100   -0.0000
   800        0.7951             nan     0.0100    0.0000
   820        0.7930             nan     0.0100   -0.0000
   840        0.7907             nan     0.0100   -0.0000
   860        0.7889             nan     0.0100   -0.0001
   880        0.7867             nan     0.0100   -0.0001
   900        0.7849             nan     0.0100   -0.0001
   920        0.7828             nan     0.0100   -0.0000
   940        0.7808             nan     0.0100   -0.0001
   960        0.7792             nan     0.0100   -0.0000
   980        0.7775             nan     0.0100   -0.0000
  1000        0.7757             nan     0.0100    0.0000
  1020        0.7741             nan     0.0100   -0.0000
  1040        0.7726             nan     0.0100   -0.0001
  1060        0.7710             nan     0.0100   -0.0001
  1080        0.7694             nan     0.0100   -0.0000
  1100        0.7679             nan     0.0100   -0.0001

- Fold05.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3242             nan     0.0100    0.0040
     2        1.3166             nan     0.0100    0.0037
     3        1.3091             nan     0.0100    0.0037
     4        1.3019             nan     0.0100    0.0035
     5        1.2945             nan     0.0100    0.0033
     6        1.2876             nan     0.0100    0.0035
     7        1.2805             nan     0.0100    0.0035
     8        1.2738             nan     0.0100    0.0033
     9        1.2672             nan     0.0100    0.0030
    10        1.2607             nan     0.0100    0.0030
    20        1.2016             nan     0.0100    0.0026
    40        1.1132             nan     0.0100    0.0019
    60        1.0480             nan     0.0100    0.0014
    80        0.9979             nan     0.0100    0.0010
   100        0.9606             nan     0.0100    0.0008
   120        0.9309             nan     0.0100    0.0005
   140        0.9068             nan     0.0100    0.0005
   160        0.8874             nan     0.0100    0.0004
   180        0.8706             nan     0.0100    0.0003
   200        0.8566             nan     0.0100    0.0002
   220        0.8454             nan     0.0100   -0.0001
   240        0.8343             nan     0.0100    0.0001
   260        0.8245             nan     0.0100    0.0000
   280        0.8157             nan     0.0100    0.0001
   300        0.8074             nan     0.0100    0.0001
   320        0.7998             nan     0.0100    0.0000
   340        0.7933             nan     0.0100   -0.0000
   360        0.7865             nan     0.0100   -0.0000
   380        0.7803             nan     0.0100    0.0000
   400        0.7753             nan     0.0100    0.0000
   420        0.7703             nan     0.0100   -0.0001
   440        0.7656             nan     0.0100   -0.0001
   460        0.7604             nan     0.0100    0.0000
   480        0.7563             nan     0.0100   -0.0001
   500        0.7521             nan     0.0100   -0.0001
   520        0.7483             nan     0.0100    0.0000
   540        0.7448             nan     0.0100   -0.0000
   560        0.7412             nan     0.0100   -0.0001
   580        0.7377             nan     0.0100   -0.0000
   600        0.7351             nan     0.0100   -0.0001
   620        0.7319             nan     0.0100   -0.0001
   640        0.7285             nan     0.0100   -0.0001
   660        0.7253             nan     0.0100    0.0000
   680        0.7225             nan     0.0100   -0.0001
   700        0.7200             nan     0.0100    0.0000
   720        0.7175             nan     0.0100   -0.0001
   740        0.7148             nan     0.0100   -0.0000
   760        0.7121             nan     0.0100   -0.0001
   780        0.7097             nan     0.0100   -0.0001
   800        0.7068             nan     0.0100    0.0000
   820        0.7043             nan     0.0100   -0.0001
   840        0.7020             nan     0.0100   -0.0001
   860        0.7002             nan     0.0100   -0.0000
   880        0.6982             nan     0.0100   -0.0002
   900        0.6962             nan     0.0100   -0.0000
   920        0.6937             nan     0.0100   -0.0001
   940        0.6913             nan     0.0100   -0.0000
   960        0.6890             nan     0.0100   -0.0002
   980        0.6872             nan     0.0100   -0.0001
  1000        0.6853             nan     0.0100   -0.0000
  1020        0.6833             nan     0.0100   -0.0001
  1040        0.6813             nan     0.0100   -0.0002
  1060        0.6796             nan     0.0100   -0.0001
  1080        0.6778             nan     0.0100   -0.0002
  1100        0.6760             nan     0.0100   -0.0001

- Fold05.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3245             nan     0.0100    0.0039
     2        1.3167             nan     0.0100    0.0038
     3        1.3085             nan     0.0100    0.0041
     4        1.3006             nan     0.0100    0.0040
     5        1.2932             nan     0.0100    0.0034
     6        1.2858             nan     0.0100    0.0035
     7        1.2786             nan     0.0100    0.0033
     8        1.2714             nan     0.0100    0.0032
     9        1.2640             nan     0.0100    0.0035
    10        1.2570             nan     0.0100    0.0036
    20        1.1941             nan     0.0100    0.0029
    40        1.0946             nan     0.0100    0.0021
    60        1.0222             nan     0.0100    0.0015
    80        0.9679             nan     0.0100    0.0011
   100        0.9262             nan     0.0100    0.0007
   120        0.8944             nan     0.0100    0.0006
   140        0.8684             nan     0.0100    0.0003
   160        0.8480             nan     0.0100    0.0001
   180        0.8310             nan     0.0100    0.0003
   200        0.8166             nan     0.0100    0.0001
   220        0.8039             nan     0.0100    0.0001
   240        0.7922             nan     0.0100    0.0000
   260        0.7828             nan     0.0100   -0.0000
   280        0.7740             nan     0.0100    0.0000
   300        0.7655             nan     0.0100    0.0001
   320        0.7584             nan     0.0100   -0.0000
   340        0.7518             nan     0.0100   -0.0000
   360        0.7446             nan     0.0100    0.0000
   380        0.7383             nan     0.0100    0.0000
   400        0.7323             nan     0.0100    0.0001
   420        0.7269             nan     0.0100   -0.0001
   440        0.7222             nan     0.0100   -0.0000
   460        0.7167             nan     0.0100   -0.0001
   480        0.7118             nan     0.0100   -0.0001
   500        0.7070             nan     0.0100   -0.0001
   520        0.7026             nan     0.0100    0.0000
   540        0.6986             nan     0.0100   -0.0001
   560        0.6950             nan     0.0100   -0.0001
   580        0.6914             nan     0.0100   -0.0002
   600        0.6873             nan     0.0100    0.0000
   620        0.6830             nan     0.0100   -0.0001
   640        0.6794             nan     0.0100   -0.0001
   660        0.6756             nan     0.0100   -0.0002
   680        0.6725             nan     0.0100   -0.0000
   700        0.6697             nan     0.0100   -0.0001
   720        0.6662             nan     0.0100   -0.0001
   740        0.6633             nan     0.0100   -0.0000
   760        0.6603             nan     0.0100   -0.0001
   780        0.6575             nan     0.0100   -0.0001
   800        0.6547             nan     0.0100   -0.0001
   820        0.6521             nan     0.0100   -0.0000
   840        0.6493             nan     0.0100   -0.0003
   860        0.6467             nan     0.0100   -0.0002
   880        0.6440             nan     0.0100    0.0001
   900        0.6415             nan     0.0100   -0.0000
   920        0.6387             nan     0.0100   -0.0000
   940        0.6355             nan     0.0100   -0.0000
   960        0.6328             nan     0.0100   -0.0002
   980        0.6306             nan     0.0100   -0.0001
  1000        0.6284             nan     0.0100   -0.0001
  1020        0.6259             nan     0.0100   -0.0001
  1040        0.6234             nan     0.0100   -0.0001
  1060        0.6208             nan     0.0100   -0.0002
  1080        0.6187             nan     0.0100   -0.0001
  1100        0.6163             nan     0.0100   -0.0000

- Fold05.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2688             nan     0.1000    0.0293
     2        1.2216             nan     0.1000    0.0234
     3        1.1859             nan     0.1000    0.0189
     4        1.1507             nan     0.1000    0.0160
     5        1.1210             nan     0.1000    0.0131
     6        1.1015             nan     0.1000    0.0072
     7        1.0833             nan     0.1000    0.0073
     8        1.0622             nan     0.1000    0.0095
     9        1.0421             nan     0.1000    0.0082
    10        1.0265             nan     0.1000    0.0067
    20        0.9379             nan     0.1000    0.0010
    40        0.8616             nan     0.1000    0.0010
    60        0.8261             nan     0.1000   -0.0011
    80        0.8014             nan     0.1000   -0.0003
   100        0.7806             nan     0.1000   -0.0003
   120        0.7644             nan     0.1000   -0.0003
   140        0.7535             nan     0.1000   -0.0012
   160        0.7455             nan     0.1000   -0.0012
   180        0.7381             nan     0.1000   -0.0000
   200        0.7318             nan     0.1000   -0.0003
   220        0.7262             nan     0.1000   -0.0000
   240        0.7221             nan     0.1000   -0.0009
   260        0.7167             nan     0.1000   -0.0000
   280        0.7133             nan     0.1000   -0.0006
   300        0.7092             nan     0.1000   -0.0006
   320        0.7049             nan     0.1000   -0.0007
   340        0.7023             nan     0.1000   -0.0007
   360        0.6993             nan     0.1000   -0.0004
   380        0.6947             nan     0.1000   -0.0008
   400        0.6926             nan     0.1000   -0.0007
   420        0.6895             nan     0.1000   -0.0014
   440        0.6852             nan     0.1000   -0.0004
   460        0.6828             nan     0.1000   -0.0007
   480        0.6794             nan     0.1000   -0.0008
   500        0.6782             nan     0.1000   -0.0011
   520        0.6754             nan     0.1000   -0.0004
   540        0.6734             nan     0.1000   -0.0003
   560        0.6716             nan     0.1000   -0.0009
   580        0.6705             nan     0.1000   -0.0016
   600        0.6680             nan     0.1000   -0.0006
   620        0.6660             nan     0.1000   -0.0006
   640        0.6635             nan     0.1000   -0.0012
   660        0.6616             nan     0.1000   -0.0008
   680        0.6580             nan     0.1000   -0.0002
   700        0.6558             nan     0.1000   -0.0006
   720        0.6559             nan     0.1000   -0.0009
   740        0.6530             nan     0.1000   -0.0009
   760        0.6511             nan     0.1000   -0.0002
   780        0.6490             nan     0.1000   -0.0011
   800        0.6484             nan     0.1000   -0.0006
   820        0.6476             nan     0.1000   -0.0006
   840        0.6473             nan     0.1000   -0.0005
   860        0.6461             nan     0.1000   -0.0007
   880        0.6443             nan     0.1000   -0.0010
   900        0.6432             nan     0.1000   -0.0007
   920        0.6416             nan     0.1000   -0.0005
   940        0.6402             nan     0.1000   -0.0010
   960        0.6373             nan     0.1000   -0.0008
   980        0.6367             nan     0.1000   -0.0009
  1000        0.6365             nan     0.1000   -0.0006
  1020        0.6338             nan     0.1000   -0.0008
  1040        0.6316             nan     0.1000   -0.0004
  1060        0.6310             nan     0.1000   -0.0007
  1080        0.6301             nan     0.1000   -0.0001
  1100        0.6292             nan     0.1000   -0.0010

- Fold05.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2592             nan     0.1000    0.0363
     2        1.2003             nan     0.1000    0.0301
     3        1.1497             nan     0.1000    0.0247
     4        1.1088             nan     0.1000    0.0209
     5        1.0732             nan     0.1000    0.0163
     6        1.0435             nan     0.1000    0.0141
     7        1.0171             nan     0.1000    0.0130
     8        0.9948             nan     0.1000    0.0100
     9        0.9737             nan     0.1000    0.0094
    10        0.9561             nan     0.1000    0.0085
    20        0.8535             nan     0.1000    0.0029
    40        0.7757             nan     0.1000   -0.0001
    60        0.7327             nan     0.1000   -0.0010
    80        0.7069             nan     0.1000   -0.0006
   100        0.6861             nan     0.1000   -0.0010
   120        0.6706             nan     0.1000   -0.0005
   140        0.6548             nan     0.1000   -0.0007
   160        0.6382             nan     0.1000   -0.0011
   180        0.6240             nan     0.1000    0.0005
   200        0.6137             nan     0.1000   -0.0018
   220        0.6054             nan     0.1000   -0.0006
   240        0.5965             nan     0.1000   -0.0012
   260        0.5899             nan     0.1000   -0.0010
   280        0.5814             nan     0.1000   -0.0013
   300        0.5704             nan     0.1000   -0.0011
   320        0.5621             nan     0.1000   -0.0009
   340        0.5572             nan     0.1000   -0.0013
   360        0.5475             nan     0.1000   -0.0011
   380        0.5431             nan     0.1000   -0.0017
   400        0.5350             nan     0.1000   -0.0010
   420        0.5283             nan     0.1000   -0.0009
   440        0.5212             nan     0.1000   -0.0010
   460        0.5161             nan     0.1000   -0.0004
   480        0.5124             nan     0.1000   -0.0017
   500        0.5057             nan     0.1000   -0.0006
   520        0.5000             nan     0.1000   -0.0004
   540        0.4961             nan     0.1000   -0.0011
   560        0.4882             nan     0.1000   -0.0012
   580        0.4816             nan     0.1000   -0.0008
   600        0.4745             nan     0.1000   -0.0006
   620        0.4701             nan     0.1000   -0.0014
   640        0.4648             nan     0.1000   -0.0009
   660        0.4580             nan     0.1000   -0.0005
   680        0.4548             nan     0.1000   -0.0010
   700        0.4502             nan     0.1000   -0.0006
   720        0.4462             nan     0.1000   -0.0008
   740        0.4423             nan     0.1000   -0.0013
   760        0.4378             nan     0.1000   -0.0006
   780        0.4341             nan     0.1000   -0.0015
   800        0.4309             nan     0.1000   -0.0006
   820        0.4266             nan     0.1000   -0.0010
   840        0.4226             nan     0.1000   -0.0010
   860        0.4192             nan     0.1000   -0.0008
   880        0.4155             nan     0.1000   -0.0012
   900        0.4114             nan     0.1000   -0.0016
   920        0.4074             nan     0.1000   -0.0007
   940        0.4040             nan     0.1000   -0.0009
   960        0.4002             nan     0.1000   -0.0008
   980        0.3967             nan     0.1000   -0.0007
  1000        0.3943             nan     0.1000   -0.0008
  1020        0.3899             nan     0.1000   -0.0005
  1040        0.3865             nan     0.1000   -0.0009
  1060        0.3833             nan     0.1000   -0.0008
  1080        0.3797             nan     0.1000   -0.0004
  1100        0.3768             nan     0.1000   -0.0013

- Fold05.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold05.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2526             nan     0.1000    0.0366
     2        1.1844             nan     0.1000    0.0328
     3        1.1323             nan     0.1000    0.0250
     4        1.0845             nan     0.1000    0.0212
     5        1.0468             nan     0.1000    0.0165
     6        1.0158             nan     0.1000    0.0163
     7        0.9872             nan     0.1000    0.0137
     8        0.9602             nan     0.1000    0.0127
     9        0.9376             nan     0.1000    0.0088
    10        0.9198             nan     0.1000    0.0080
    20        0.8200             nan     0.1000    0.0020
    40        0.7339             nan     0.1000   -0.0005
    60        0.6888             nan     0.1000   -0.0017
    80        0.6619             nan     0.1000   -0.0008
   100        0.6354             nan     0.1000   -0.0005
   120        0.6157             nan     0.1000   -0.0018
   140        0.5963             nan     0.1000   -0.0017
   160        0.5803             nan     0.1000   -0.0012
   180        0.5598             nan     0.1000   -0.0011
   200        0.5480             nan     0.1000   -0.0013
   220        0.5355             nan     0.1000   -0.0010
   240        0.5224             nan     0.1000   -0.0014
   260        0.5083             nan     0.1000   -0.0019
   280        0.4956             nan     0.1000   -0.0015
   300        0.4840             nan     0.1000   -0.0014
   320        0.4717             nan     0.1000   -0.0005
   340        0.4607             nan     0.1000   -0.0003
   360        0.4526             nan     0.1000   -0.0006
   380        0.4440             nan     0.1000   -0.0011
   400        0.4380             nan     0.1000   -0.0012
   420        0.4294             nan     0.1000   -0.0011
   440        0.4210             nan     0.1000   -0.0006
   460        0.4104             nan     0.1000   -0.0011
   480        0.4037             nan     0.1000   -0.0009
   500        0.3947             nan     0.1000   -0.0015
   520        0.3862             nan     0.1000   -0.0014
   540        0.3793             nan     0.1000   -0.0019
   560        0.3747             nan     0.1000   -0.0014
   580        0.3696             nan     0.1000   -0.0003
   600        0.3619             nan     0.1000   -0.0011
   620        0.3563             nan     0.1000   -0.0007
   640        0.3500             nan     0.1000   -0.0007
   660        0.3452             nan     0.1000   -0.0009
   680        0.3402             nan     0.1000   -0.0005
   700        0.3362             nan     0.1000   -0.0014
   720        0.3303             nan     0.1000   -0.0009
   740        0.3260             nan     0.1000   -0.0005
   760        0.3221             nan     0.1000   -0.0012
   780        0.3171             nan     0.1000   -0.0011
   800        0.3112             nan     0.1000   -0.0008
   820        0.3084             nan     0.1000   -0.0011
   840        0.3032             nan     0.1000   -0.0005
   860        0.2995             nan     0.1000   -0.0007
   880        0.2959             nan     0.1000   -0.0007
   900        0.2915             nan     0.1000   -0.0008
   920        0.2883             nan     0.1000   -0.0009
   940        0.2846             nan     0.1000   -0.0013
   960        0.2816             nan     0.1000   -0.0012
   980        0.2793             nan     0.1000   -0.0008
  1000        0.2763             nan     0.1000   -0.0010
  1020        0.2729             nan     0.1000   -0.0006
  1040        0.2692             nan     0.1000   -0.0006
  1060        0.2661             nan     0.1000   -0.0006
  1080        0.2605             nan     0.1000   -0.0007
  1100        0.2578             nan     0.1000   -0.0004

- Fold05.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3254             nan     0.0100    0.0031
     2        1.3191             nan     0.0100    0.0029
     3        1.3132             nan     0.0100    0.0029
     4        1.3079             nan     0.0100    0.0030
     5        1.3015             nan     0.0100    0.0029
     6        1.2954             nan     0.0100    0.0028
     7        1.2897             nan     0.0100    0.0028
     8        1.2844             nan     0.0100    0.0027
     9        1.2786             nan     0.0100    0.0026
    10        1.2731             nan     0.0100    0.0026
    20        1.2244             nan     0.0100    0.0021
    40        1.1528             nan     0.0100    0.0015
    60        1.1017             nan     0.0100    0.0011
    80        1.0647             nan     0.0100    0.0007
   100        1.0339             nan     0.0100    0.0006
   120        1.0079             nan     0.0100    0.0005
   140        0.9873             nan     0.0100    0.0004
   160        0.9692             nan     0.0100    0.0003
   180        0.9545             nan     0.0100    0.0002
   200        0.9410             nan     0.0100    0.0002
   220        0.9292             nan     0.0100    0.0002
   240        0.9184             nan     0.0100    0.0002
   260        0.9085             nan     0.0100    0.0002
   280        0.8995             nan     0.0100    0.0001
   300        0.8918             nan     0.0100    0.0001
   320        0.8847             nan     0.0100    0.0001
   340        0.8772             nan     0.0100    0.0001
   360        0.8710             nan     0.0100    0.0001
   380        0.8657             nan     0.0100   -0.0000
   400        0.8603             nan     0.0100   -0.0000
   420        0.8551             nan     0.0100    0.0000
   440        0.8505             nan     0.0100    0.0000
   460        0.8459             nan     0.0100    0.0001
   480        0.8415             nan     0.0100    0.0001
   500        0.8377             nan     0.0100   -0.0000
   520        0.8341             nan     0.0100   -0.0000
   540        0.8303             nan     0.0100    0.0000
   560        0.8270             nan     0.0100   -0.0000
   580        0.8237             nan     0.0100    0.0000
   600        0.8207             nan     0.0100    0.0000
   620        0.8177             nan     0.0100    0.0000
   640        0.8150             nan     0.0100    0.0000
   660        0.8127             nan     0.0100    0.0000
   680        0.8106             nan     0.0100    0.0000
   700        0.8080             nan     0.0100    0.0000
   720        0.8057             nan     0.0100   -0.0001
   740        0.8034             nan     0.0100   -0.0001
   760        0.8012             nan     0.0100   -0.0001
   780        0.7992             nan     0.0100   -0.0000
   800        0.7971             nan     0.0100   -0.0000
   820        0.7951             nan     0.0100   -0.0001
   840        0.7933             nan     0.0100   -0.0000
   860        0.7917             nan     0.0100   -0.0001
   880        0.7899             nan     0.0100   -0.0000
   900        0.7883             nan     0.0100   -0.0000
   920        0.7864             nan     0.0100   -0.0000
   940        0.7849             nan     0.0100   -0.0001
   960        0.7835             nan     0.0100   -0.0001
   980        0.7818             nan     0.0100   -0.0000
  1000        0.7803             nan     0.0100   -0.0001
  1020        0.7788             nan     0.0100   -0.0000
  1040        0.7772             nan     0.0100   -0.0000
  1060        0.7758             nan     0.0100    0.0000
  1080        0.7745             nan     0.0100   -0.0000
  1100        0.7731             nan     0.0100   -0.0000

- Fold06.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3228             nan     0.0100    0.0037
     2        1.3150             nan     0.0100    0.0033
     3        1.3073             nan     0.0100    0.0037
     4        1.3006             nan     0.0100    0.0032
     5        1.2931             nan     0.0100    0.0037
     6        1.2858             nan     0.0100    0.0036
     7        1.2785             nan     0.0100    0.0032
     8        1.2717             nan     0.0100    0.0033
     9        1.2650             nan     0.0100    0.0032
    10        1.2585             nan     0.0100    0.0033
    20        1.1997             nan     0.0100    0.0026
    40        1.1073             nan     0.0100    0.0019
    60        1.0404             nan     0.0100    0.0012
    80        0.9899             nan     0.0100    0.0010
   100        0.9530             nan     0.0100    0.0007
   120        0.9229             nan     0.0100    0.0005
   140        0.8999             nan     0.0100    0.0005
   160        0.8803             nan     0.0100    0.0003
   180        0.8644             nan     0.0100    0.0002
   200        0.8496             nan     0.0100    0.0002
   220        0.8386             nan     0.0100    0.0002
   240        0.8284             nan     0.0100    0.0001
   260        0.8198             nan     0.0100    0.0001
   280        0.8120             nan     0.0100    0.0001
   300        0.8049             nan     0.0100   -0.0000
   320        0.7989             nan     0.0100    0.0000
   340        0.7923             nan     0.0100    0.0000
   360        0.7863             nan     0.0100    0.0000
   380        0.7811             nan     0.0100    0.0000
   400        0.7766             nan     0.0100    0.0001
   420        0.7726             nan     0.0100    0.0000
   440        0.7683             nan     0.0100   -0.0000
   460        0.7646             nan     0.0100   -0.0000
   480        0.7607             nan     0.0100   -0.0001
   500        0.7570             nan     0.0100    0.0000
   520        0.7539             nan     0.0100   -0.0001
   540        0.7504             nan     0.0100   -0.0000
   560        0.7471             nan     0.0100   -0.0000
   580        0.7437             nan     0.0100   -0.0000
   600        0.7410             nan     0.0100   -0.0001
   620        0.7375             nan     0.0100   -0.0001
   640        0.7348             nan     0.0100   -0.0001
   660        0.7318             nan     0.0100   -0.0001
   680        0.7291             nan     0.0100   -0.0001
   700        0.7262             nan     0.0100   -0.0000
   720        0.7237             nan     0.0100   -0.0001
   740        0.7210             nan     0.0100   -0.0001
   760        0.7186             nan     0.0100   -0.0001
   780        0.7163             nan     0.0100   -0.0001
   800        0.7140             nan     0.0100   -0.0002
   820        0.7114             nan     0.0100   -0.0001
   840        0.7090             nan     0.0100   -0.0001
   860        0.7067             nan     0.0100   -0.0001
   880        0.7046             nan     0.0100   -0.0001
   900        0.7025             nan     0.0100   -0.0001
   920        0.7006             nan     0.0100   -0.0001
   940        0.6983             nan     0.0100   -0.0000
   960        0.6961             nan     0.0100    0.0000
   980        0.6942             nan     0.0100   -0.0001
  1000        0.6926             nan     0.0100   -0.0001
  1020        0.6909             nan     0.0100   -0.0001
  1040        0.6890             nan     0.0100   -0.0002
  1060        0.6875             nan     0.0100   -0.0000
  1080        0.6855             nan     0.0100   -0.0002
  1100        0.6835             nan     0.0100   -0.0001

- Fold06.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3225             nan     0.0100    0.0041
     2        1.3146             nan     0.0100    0.0040
     3        1.3060             nan     0.0100    0.0040
     4        1.2982             nan     0.0100    0.0038
     5        1.2901             nan     0.0100    0.0036
     6        1.2820             nan     0.0100    0.0037
     7        1.2744             nan     0.0100    0.0036
     8        1.2670             nan     0.0100    0.0032
     9        1.2599             nan     0.0100    0.0035
    10        1.2523             nan     0.0100    0.0036
    20        1.1872             nan     0.0100    0.0030
    40        1.0886             nan     0.0100    0.0018
    60        1.0161             nan     0.0100    0.0015
    80        0.9613             nan     0.0100    0.0009
   100        0.9206             nan     0.0100    0.0007
   120        0.8895             nan     0.0100    0.0004
   140        0.8653             nan     0.0100    0.0004
   160        0.8455             nan     0.0100    0.0005
   180        0.8289             nan     0.0100    0.0002
   200        0.8152             nan     0.0100    0.0002
   220        0.8022             nan     0.0100    0.0001
   240        0.7918             nan     0.0100    0.0001
   260        0.7824             nan     0.0100    0.0001
   280        0.7743             nan     0.0100    0.0001
   300        0.7664             nan     0.0100    0.0000
   320        0.7595             nan     0.0100   -0.0000
   340        0.7527             nan     0.0100   -0.0000
   360        0.7467             nan     0.0100   -0.0001
   380        0.7401             nan     0.0100   -0.0002
   400        0.7344             nan     0.0100   -0.0000
   420        0.7292             nan     0.0100   -0.0000
   440        0.7244             nan     0.0100   -0.0000
   460        0.7196             nan     0.0100   -0.0001
   480        0.7154             nan     0.0100   -0.0001
   500        0.7117             nan     0.0100   -0.0000
   520        0.7074             nan     0.0100   -0.0001
   540        0.7036             nan     0.0100   -0.0001
   560        0.6995             nan     0.0100   -0.0000
   580        0.6961             nan     0.0100   -0.0000
   600        0.6924             nan     0.0100   -0.0001
   620        0.6889             nan     0.0100   -0.0000
   640        0.6852             nan     0.0100   -0.0001
   660        0.6820             nan     0.0100   -0.0000
   680        0.6778             nan     0.0100   -0.0001
   700        0.6746             nan     0.0100   -0.0002
   720        0.6717             nan     0.0100   -0.0001
   740        0.6688             nan     0.0100   -0.0001
   760        0.6661             nan     0.0100   -0.0001
   780        0.6629             nan     0.0100   -0.0001
   800        0.6599             nan     0.0100   -0.0000
   820        0.6561             nan     0.0100   -0.0001
   840        0.6535             nan     0.0100   -0.0001
   860        0.6508             nan     0.0100   -0.0001
   880        0.6474             nan     0.0100   -0.0001
   900        0.6452             nan     0.0100   -0.0002
   920        0.6425             nan     0.0100   -0.0001
   940        0.6395             nan     0.0100   -0.0002
   960        0.6373             nan     0.0100   -0.0002
   980        0.6347             nan     0.0100   -0.0001
  1000        0.6320             nan     0.0100   -0.0001
  1020        0.6298             nan     0.0100   -0.0001
  1040        0.6276             nan     0.0100   -0.0002
  1060        0.6251             nan     0.0100   -0.0001
  1080        0.6229             nan     0.0100   -0.0001
  1100        0.6206             nan     0.0100   -0.0002

- Fold06.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2750             nan     0.1000    0.0310
     2        1.2237             nan     0.1000    0.0235
     3        1.1861             nan     0.1000    0.0202
     4        1.1527             nan     0.1000    0.0168
     5        1.1258             nan     0.1000    0.0138
     6        1.1016             nan     0.1000    0.0121
     7        1.0794             nan     0.1000    0.0096
     8        1.0625             nan     0.1000    0.0076
     9        1.0424             nan     0.1000    0.0068
    10        1.0262             nan     0.1000    0.0056
    20        0.9363             nan     0.1000    0.0019
    40        0.8572             nan     0.1000    0.0011
    60        0.8185             nan     0.1000    0.0003
    80        0.7940             nan     0.1000    0.0001
   100        0.7786             nan     0.1000   -0.0012
   120        0.7652             nan     0.1000   -0.0004
   140        0.7537             nan     0.1000   -0.0006
   160        0.7452             nan     0.1000   -0.0004
   180        0.7387             nan     0.1000   -0.0003
   200        0.7329             nan     0.1000   -0.0005
   220        0.7255             nan     0.1000   -0.0015
   240        0.7230             nan     0.1000   -0.0013
   260        0.7191             nan     0.1000   -0.0005
   280        0.7145             nan     0.1000   -0.0008
   300        0.7101             nan     0.1000   -0.0005
   320        0.7060             nan     0.1000   -0.0005
   340        0.7030             nan     0.1000   -0.0013
   360        0.7000             nan     0.1000   -0.0004
   380        0.6964             nan     0.1000   -0.0001
   400        0.6936             nan     0.1000   -0.0011
   420        0.6883             nan     0.1000   -0.0010
   440        0.6860             nan     0.1000   -0.0003
   460        0.6846             nan     0.1000   -0.0009
   480        0.6821             nan     0.1000   -0.0009
   500        0.6787             nan     0.1000   -0.0007
   520        0.6758             nan     0.1000   -0.0007
   540        0.6742             nan     0.1000   -0.0007
   560        0.6728             nan     0.1000   -0.0013
   580        0.6708             nan     0.1000   -0.0005
   600        0.6704             nan     0.1000   -0.0020
   620        0.6680             nan     0.1000   -0.0006
   640        0.6658             nan     0.1000   -0.0007
   660        0.6637             nan     0.1000   -0.0005
   680        0.6612             nan     0.1000   -0.0006
   700        0.6588             nan     0.1000   -0.0007
   720        0.6570             nan     0.1000   -0.0005
   740        0.6564             nan     0.1000   -0.0009
   760        0.6547             nan     0.1000   -0.0014
   780        0.6529             nan     0.1000   -0.0015
   800        0.6506             nan     0.1000   -0.0007
   820        0.6495             nan     0.1000   -0.0006
   840        0.6476             nan     0.1000   -0.0008
   860        0.6451             nan     0.1000   -0.0005
   880        0.6435             nan     0.1000   -0.0008
   900        0.6441             nan     0.1000   -0.0007
   920        0.6421             nan     0.1000   -0.0003
   940        0.6402             nan     0.1000   -0.0009
   960        0.6388             nan     0.1000   -0.0006
   980        0.6367             nan     0.1000   -0.0007
  1000        0.6357             nan     0.1000   -0.0006
  1020        0.6351             nan     0.1000   -0.0018
  1040        0.6327             nan     0.1000   -0.0008
  1060        0.6323             nan     0.1000   -0.0009
  1080        0.6316             nan     0.1000   -0.0004
  1100        0.6302             nan     0.1000   -0.0004

- Fold06.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2570             nan     0.1000    0.0354
     2        1.1900             nan     0.1000    0.0320
     3        1.1375             nan     0.1000    0.0258
     4        1.0923             nan     0.1000    0.0209
     5        1.0581             nan     0.1000    0.0162
     6        1.0313             nan     0.1000    0.0142
     7        1.0059             nan     0.1000    0.0124
     8        0.9819             nan     0.1000    0.0106
     9        0.9633             nan     0.1000    0.0096
    10        0.9471             nan     0.1000    0.0082
    20        0.8482             nan     0.1000    0.0027
    40        0.7789             nan     0.1000    0.0010
    60        0.7429             nan     0.1000   -0.0006
    80        0.7194             nan     0.1000   -0.0005
   100        0.6993             nan     0.1000   -0.0011
   120        0.6805             nan     0.1000   -0.0010
   140        0.6600             nan     0.1000   -0.0017
   160        0.6474             nan     0.1000   -0.0014
   180        0.6329             nan     0.1000   -0.0001
   200        0.6236             nan     0.1000   -0.0014
   220        0.6108             nan     0.1000   -0.0011
   240        0.6007             nan     0.1000   -0.0012
   260        0.5924             nan     0.1000   -0.0013
   280        0.5841             nan     0.1000   -0.0014
   300        0.5745             nan     0.1000   -0.0011
   320        0.5672             nan     0.1000   -0.0007
   340        0.5569             nan     0.1000   -0.0013
   360        0.5517             nan     0.1000   -0.0005
   380        0.5458             nan     0.1000   -0.0021
   400        0.5396             nan     0.1000   -0.0005
   420        0.5346             nan     0.1000   -0.0010
   440        0.5286             nan     0.1000   -0.0009
   460        0.5236             nan     0.1000   -0.0009
   480        0.5184             nan     0.1000   -0.0012
   500        0.5121             nan     0.1000   -0.0017
   520        0.5026             nan     0.1000   -0.0010
   540        0.4973             nan     0.1000   -0.0013
   560        0.4939             nan     0.1000   -0.0010
   580        0.4888             nan     0.1000   -0.0005
   600        0.4818             nan     0.1000   -0.0013
   620        0.4774             nan     0.1000   -0.0013
   640        0.4747             nan     0.1000   -0.0013
   660        0.4691             nan     0.1000   -0.0017
   680        0.4645             nan     0.1000   -0.0007
   700        0.4590             nan     0.1000   -0.0009
   720        0.4544             nan     0.1000   -0.0009
   740        0.4506             nan     0.1000   -0.0004
   760        0.4492             nan     0.1000   -0.0008
   780        0.4448             nan     0.1000   -0.0013
   800        0.4409             nan     0.1000   -0.0013
   820        0.4352             nan     0.1000   -0.0007
   840        0.4306             nan     0.1000   -0.0013
   860        0.4289             nan     0.1000   -0.0009
   880        0.4254             nan     0.1000   -0.0009
   900        0.4223             nan     0.1000   -0.0008
   920        0.4197             nan     0.1000   -0.0012
   940        0.4170             nan     0.1000   -0.0005
   960        0.4133             nan     0.1000   -0.0012
   980        0.4083             nan     0.1000   -0.0008
  1000        0.4052             nan     0.1000   -0.0006
  1020        0.4024             nan     0.1000   -0.0009
  1040        0.4000             nan     0.1000   -0.0009
  1060        0.3977             nan     0.1000   -0.0011
  1080        0.3929             nan     0.1000   -0.0016
  1100        0.3884             nan     0.1000   -0.0006

- Fold06.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold06.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2514             nan     0.1000    0.0431
     2        1.1840             nan     0.1000    0.0313
     3        1.1300             nan     0.1000    0.0278
     4        1.0863             nan     0.1000    0.0210
     5        1.0469             nan     0.1000    0.0168
     6        1.0100             nan     0.1000    0.0140
     7        0.9814             nan     0.1000    0.0135
     8        0.9536             nan     0.1000    0.0115
     9        0.9327             nan     0.1000    0.0088
    10        0.9149             nan     0.1000    0.0085
    20        0.8118             nan     0.1000    0.0013
    40        0.7361             nan     0.1000   -0.0006
    60        0.6947             nan     0.1000   -0.0008
    80        0.6653             nan     0.1000   -0.0001
   100        0.6368             nan     0.1000   -0.0002
   120        0.6084             nan     0.1000    0.0000
   140        0.5888             nan     0.1000   -0.0016
   160        0.5712             nan     0.1000   -0.0009
   180        0.5563             nan     0.1000   -0.0011
   200        0.5393             nan     0.1000   -0.0004
   220        0.5289             nan     0.1000   -0.0015
   240        0.5145             nan     0.1000   -0.0010
   260        0.5032             nan     0.1000   -0.0008
   280        0.4892             nan     0.1000   -0.0015
   300        0.4798             nan     0.1000   -0.0013
   320        0.4698             nan     0.1000   -0.0015
   340        0.4589             nan     0.1000   -0.0013
   360        0.4480             nan     0.1000   -0.0021
   380        0.4393             nan     0.1000   -0.0004
   400        0.4316             nan     0.1000   -0.0009
   420        0.4221             nan     0.1000   -0.0007
   440        0.4162             nan     0.1000   -0.0010
   460        0.4061             nan     0.1000   -0.0012
   480        0.3996             nan     0.1000   -0.0015
   500        0.3930             nan     0.1000   -0.0008
   520        0.3844             nan     0.1000   -0.0006
   540        0.3773             nan     0.1000   -0.0004
   560        0.3732             nan     0.1000   -0.0015
   580        0.3667             nan     0.1000   -0.0013
   600        0.3601             nan     0.1000   -0.0006
   620        0.3538             nan     0.1000   -0.0004
   640        0.3489             nan     0.1000   -0.0015
   660        0.3419             nan     0.1000   -0.0014
   680        0.3370             nan     0.1000   -0.0011
   700        0.3315             nan     0.1000   -0.0011
   720        0.3259             nan     0.1000   -0.0007
   740        0.3211             nan     0.1000   -0.0012
   760        0.3174             nan     0.1000   -0.0007
   780        0.3121             nan     0.1000   -0.0006
   800        0.3075             nan     0.1000   -0.0010
   820        0.3025             nan     0.1000   -0.0005
   840        0.2988             nan     0.1000   -0.0015
   860        0.2944             nan     0.1000   -0.0006
   880        0.2913             nan     0.1000   -0.0014
   900        0.2869             nan     0.1000   -0.0013
   920        0.2824             nan     0.1000   -0.0002
   940        0.2794             nan     0.1000   -0.0006
   960        0.2755             nan     0.1000   -0.0008
   980        0.2725             nan     0.1000   -0.0006
  1000        0.2704             nan     0.1000   -0.0005
  1020        0.2670             nan     0.1000   -0.0007
  1040        0.2627             nan     0.1000   -0.0008
  1060        0.2592             nan     0.1000   -0.0007
  1080        0.2549             nan     0.1000   -0.0006
  1100        0.2516             nan     0.1000   -0.0005

- Fold06.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3266             nan     0.0100    0.0028
     2        1.3206             nan     0.0100    0.0030
     3        1.3141             nan     0.0100    0.0030
     4        1.3088             nan     0.0100    0.0028
     5        1.3031             nan     0.0100    0.0028
     6        1.2979             nan     0.0100    0.0027
     7        1.2928             nan     0.0100    0.0027
     8        1.2876             nan     0.0100    0.0026
     9        1.2826             nan     0.0100    0.0024
    10        1.2774             nan     0.0100    0.0025
    20        1.2321             nan     0.0100    0.0020
    40        1.1623             nan     0.0100    0.0015
    60        1.1135             nan     0.0100    0.0010
    80        1.0762             nan     0.0100    0.0008
   100        1.0454             nan     0.0100    0.0006
   120        1.0200             nan     0.0100    0.0005
   140        0.9998             nan     0.0100    0.0004
   160        0.9814             nan     0.0100    0.0004
   180        0.9659             nan     0.0100    0.0003
   200        0.9521             nan     0.0100    0.0003
   220        0.9408             nan     0.0100    0.0001
   240        0.9304             nan     0.0100    0.0001
   260        0.9214             nan     0.0100    0.0002
   280        0.9131             nan     0.0100    0.0000
   300        0.9050             nan     0.0100    0.0001
   320        0.8979             nan     0.0100    0.0001
   340        0.8912             nan     0.0100    0.0000
   360        0.8852             nan     0.0100    0.0001
   380        0.8800             nan     0.0100    0.0001
   400        0.8748             nan     0.0100    0.0000
   420        0.8699             nan     0.0100    0.0000
   440        0.8653             nan     0.0100   -0.0000
   460        0.8606             nan     0.0100   -0.0000
   480        0.8564             nan     0.0100    0.0000
   500        0.8525             nan     0.0100    0.0000
   520        0.8489             nan     0.0100    0.0000
   540        0.8456             nan     0.0100   -0.0000
   560        0.8422             nan     0.0100   -0.0000
   580        0.8391             nan     0.0100    0.0000
   600        0.8360             nan     0.0100    0.0000
   620        0.8334             nan     0.0100    0.0000
   640        0.8307             nan     0.0100   -0.0000
   660        0.8280             nan     0.0100    0.0000
   680        0.8255             nan     0.0100   -0.0000
   700        0.8232             nan     0.0100   -0.0000
   720        0.8206             nan     0.0100   -0.0000
   740        0.8184             nan     0.0100    0.0000
   760        0.8160             nan     0.0100    0.0000
   780        0.8140             nan     0.0100   -0.0001
   800        0.8121             nan     0.0100   -0.0000
   820        0.8099             nan     0.0100   -0.0001
   840        0.8080             nan     0.0100   -0.0001
   860        0.8063             nan     0.0100   -0.0000
   880        0.8045             nan     0.0100   -0.0000
   900        0.8029             nan     0.0100   -0.0000
   920        0.8013             nan     0.0100    0.0000
   940        0.7995             nan     0.0100   -0.0000
   960        0.7977             nan     0.0100   -0.0001
   980        0.7964             nan     0.0100   -0.0000
  1000        0.7950             nan     0.0100   -0.0001
  1020        0.7935             nan     0.0100   -0.0000
  1040        0.7919             nan     0.0100    0.0000
  1060        0.7905             nan     0.0100    0.0000
  1080        0.7891             nan     0.0100   -0.0000
  1100        0.7877             nan     0.0100   -0.0000

- Fold07.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3244             nan     0.0100    0.0036
     2        1.3163             nan     0.0100    0.0035
     3        1.3091             nan     0.0100    0.0033
     4        1.3021             nan     0.0100    0.0037
     5        1.2951             nan     0.0100    0.0032
     6        1.2889             nan     0.0100    0.0032
     7        1.2818             nan     0.0100    0.0030
     8        1.2754             nan     0.0100    0.0030
     9        1.2690             nan     0.0100    0.0033
    10        1.2635             nan     0.0100    0.0027
    20        1.2077             nan     0.0100    0.0024
    40        1.1201             nan     0.0100    0.0019
    60        1.0562             nan     0.0100    0.0013
    80        1.0091             nan     0.0100    0.0009
   100        0.9724             nan     0.0100    0.0008
   120        0.9415             nan     0.0100    0.0005
   140        0.9179             nan     0.0100    0.0005
   160        0.8996             nan     0.0100    0.0004
   180        0.8837             nan     0.0100    0.0003
   200        0.8704             nan     0.0100    0.0001
   220        0.8587             nan     0.0100    0.0001
   240        0.8481             nan     0.0100    0.0002
   260        0.8393             nan     0.0100   -0.0000
   280        0.8313             nan     0.0100    0.0000
   300        0.8240             nan     0.0100    0.0001
   320        0.8174             nan     0.0100    0.0000
   340        0.8112             nan     0.0100    0.0000
   360        0.8054             nan     0.0100   -0.0001
   380        0.7996             nan     0.0100   -0.0000
   400        0.7945             nan     0.0100   -0.0000
   420        0.7901             nan     0.0100   -0.0000
   440        0.7860             nan     0.0100   -0.0001
   460        0.7817             nan     0.0100    0.0000
   480        0.7781             nan     0.0100   -0.0001
   500        0.7744             nan     0.0100   -0.0000
   520        0.7703             nan     0.0100    0.0000
   540        0.7669             nan     0.0100   -0.0001
   560        0.7635             nan     0.0100   -0.0000
   580        0.7606             nan     0.0100    0.0000
   600        0.7575             nan     0.0100   -0.0001
   620        0.7547             nan     0.0100   -0.0001
   640        0.7519             nan     0.0100    0.0000
   660        0.7487             nan     0.0100   -0.0000
   680        0.7461             nan     0.0100   -0.0000
   700        0.7436             nan     0.0100   -0.0001
   720        0.7411             nan     0.0100   -0.0001
   740        0.7386             nan     0.0100   -0.0000
   760        0.7363             nan     0.0100   -0.0001
   780        0.7336             nan     0.0100   -0.0001
   800        0.7314             nan     0.0100   -0.0000
   820        0.7289             nan     0.0100   -0.0000
   840        0.7267             nan     0.0100   -0.0001
   860        0.7247             nan     0.0100   -0.0001
   880        0.7227             nan     0.0100   -0.0001
   900        0.7208             nan     0.0100   -0.0000
   920        0.7188             nan     0.0100   -0.0001
   940        0.7171             nan     0.0100   -0.0001
   960        0.7151             nan     0.0100   -0.0001
   980        0.7133             nan     0.0100   -0.0001
  1000        0.7110             nan     0.0100   -0.0001
  1020        0.7091             nan     0.0100   -0.0001
  1040        0.7071             nan     0.0100   -0.0002
  1060        0.7055             nan     0.0100   -0.0001
  1080        0.7034             nan     0.0100   -0.0002
  1100        0.7015             nan     0.0100   -0.0000

- Fold07.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3238             nan     0.0100    0.0041
     2        1.3157             nan     0.0100    0.0041
     3        1.3085             nan     0.0100    0.0037
     4        1.3005             nan     0.0100    0.0038
     5        1.2926             nan     0.0100    0.0040
     6        1.2848             nan     0.0100    0.0034
     7        1.2774             nan     0.0100    0.0035
     8        1.2706             nan     0.0100    0.0035
     9        1.2636             nan     0.0100    0.0032
    10        1.2569             nan     0.0100    0.0035
    20        1.1948             nan     0.0100    0.0026
    40        1.0981             nan     0.0100    0.0019
    60        1.0279             nan     0.0100    0.0013
    80        0.9748             nan     0.0100    0.0010
   100        0.9357             nan     0.0100    0.0006
   120        0.9053             nan     0.0100    0.0005
   140        0.8814             nan     0.0100    0.0006
   160        0.8620             nan     0.0100    0.0001
   180        0.8455             nan     0.0100    0.0004
   200        0.8320             nan     0.0100    0.0001
   220        0.8206             nan     0.0100    0.0000
   240        0.8103             nan     0.0100   -0.0002
   260        0.8006             nan     0.0100    0.0002
   280        0.7916             nan     0.0100    0.0002
   300        0.7839             nan     0.0100   -0.0001
   320        0.7765             nan     0.0100    0.0001
   340        0.7704             nan     0.0100    0.0001
   360        0.7643             nan     0.0100   -0.0001
   380        0.7582             nan     0.0100   -0.0001
   400        0.7524             nan     0.0100   -0.0001
   420        0.7475             nan     0.0100    0.0000
   440        0.7430             nan     0.0100   -0.0001
   460        0.7387             nan     0.0100   -0.0000
   480        0.7345             nan     0.0100   -0.0001
   500        0.7295             nan     0.0100   -0.0000
   520        0.7258             nan     0.0100   -0.0001
   540        0.7218             nan     0.0100   -0.0000
   560        0.7183             nan     0.0100   -0.0000
   580        0.7148             nan     0.0100   -0.0002
   600        0.7107             nan     0.0100   -0.0001
   620        0.7070             nan     0.0100    0.0000
   640        0.7032             nan     0.0100   -0.0000
   660        0.7000             nan     0.0100   -0.0002
   680        0.6963             nan     0.0100   -0.0001
   700        0.6933             nan     0.0100   -0.0002
   720        0.6902             nan     0.0100   -0.0000
   740        0.6869             nan     0.0100   -0.0001
   760        0.6837             nan     0.0100   -0.0001
   780        0.6807             nan     0.0100   -0.0001
   800        0.6782             nan     0.0100   -0.0001
   820        0.6749             nan     0.0100   -0.0000
   840        0.6722             nan     0.0100   -0.0001
   860        0.6692             nan     0.0100    0.0000
   880        0.6671             nan     0.0100   -0.0001
   900        0.6640             nan     0.0100   -0.0001
   920        0.6617             nan     0.0100   -0.0002
   940        0.6589             nan     0.0100   -0.0001
   960        0.6565             nan     0.0100   -0.0002
   980        0.6544             nan     0.0100   -0.0001
  1000        0.6520             nan     0.0100   -0.0001
  1020        0.6495             nan     0.0100   -0.0001
  1040        0.6472             nan     0.0100   -0.0001
  1060        0.6448             nan     0.0100   -0.0001
  1080        0.6424             nan     0.0100   -0.0001
  1100        0.6402             nan     0.0100   -0.0001

- Fold07.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2743             nan     0.1000    0.0287
     2        1.2287             nan     0.1000    0.0237
     3        1.1936             nan     0.1000    0.0189
     4        1.1590             nan     0.1000    0.0143
     5        1.1354             nan     0.1000    0.0124
     6        1.1158             nan     0.1000    0.0084
     7        1.0914             nan     0.1000    0.0108
     8        1.0697             nan     0.1000    0.0083
     9        1.0540             nan     0.1000    0.0075
    10        1.0395             nan     0.1000    0.0066
    20        0.9480             nan     0.1000    0.0021
    40        0.8718             nan     0.1000    0.0008
    60        0.8345             nan     0.1000    0.0001
    80        0.8141             nan     0.1000   -0.0008
   100        0.7979             nan     0.1000    0.0001
   120        0.7843             nan     0.1000   -0.0005
   140        0.7738             nan     0.1000   -0.0004
   160        0.7636             nan     0.1000   -0.0018
   180        0.7558             nan     0.1000   -0.0012
   200        0.7517             nan     0.1000   -0.0009
   220        0.7446             nan     0.1000   -0.0005
   240        0.7387             nan     0.1000   -0.0003
   260        0.7335             nan     0.1000   -0.0007
   280        0.7291             nan     0.1000   -0.0010
   300        0.7235             nan     0.1000   -0.0010
   320        0.7202             nan     0.1000   -0.0023
   340        0.7168             nan     0.1000   -0.0007
   360        0.7129             nan     0.1000   -0.0004
   380        0.7086             nan     0.1000   -0.0008
   400        0.7057             nan     0.1000   -0.0006
   420        0.7042             nan     0.1000   -0.0010
   440        0.7006             nan     0.1000   -0.0006
   460        0.6974             nan     0.1000   -0.0010
   480        0.6940             nan     0.1000   -0.0020
   500        0.6913             nan     0.1000   -0.0006
   520        0.6885             nan     0.1000   -0.0010
   540        0.6857             nan     0.1000   -0.0004
   560        0.6831             nan     0.1000   -0.0008
   580        0.6810             nan     0.1000   -0.0011
   600        0.6781             nan     0.1000   -0.0005
   620        0.6767             nan     0.1000   -0.0016
   640        0.6749             nan     0.1000   -0.0006
   660        0.6736             nan     0.1000   -0.0013
   680        0.6707             nan     0.1000   -0.0009
   700        0.6696             nan     0.1000   -0.0009
   720        0.6687             nan     0.1000   -0.0017
   740        0.6656             nan     0.1000   -0.0005
   760        0.6633             nan     0.1000   -0.0007
   780        0.6618             nan     0.1000   -0.0003
   800        0.6615             nan     0.1000   -0.0007
   820        0.6599             nan     0.1000   -0.0007
   840        0.6584             nan     0.1000   -0.0008
   860        0.6572             nan     0.1000   -0.0003
   880        0.6557             nan     0.1000   -0.0007
   900        0.6544             nan     0.1000   -0.0010
   920        0.6526             nan     0.1000   -0.0002
   940        0.6509             nan     0.1000   -0.0003
   960        0.6499             nan     0.1000   -0.0005
   980        0.6475             nan     0.1000   -0.0006
  1000        0.6459             nan     0.1000   -0.0004
  1020        0.6446             nan     0.1000   -0.0007
  1040        0.6433             nan     0.1000   -0.0003
  1060        0.6415             nan     0.1000   -0.0009
  1080        0.6398             nan     0.1000   -0.0009
  1100        0.6384             nan     0.1000   -0.0007

- Fold07.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2661             nan     0.1000    0.0357
     2        1.2073             nan     0.1000    0.0293
     3        1.1583             nan     0.1000    0.0228
     4        1.1172             nan     0.1000    0.0218
     5        1.0794             nan     0.1000    0.0166
     6        1.0472             nan     0.1000    0.0125
     7        1.0248             nan     0.1000    0.0101
     8        1.0029             nan     0.1000    0.0099
     9        0.9831             nan     0.1000    0.0081
    10        0.9672             nan     0.1000    0.0064
    20        0.8682             nan     0.1000    0.0004
    40        0.7941             nan     0.1000    0.0013
    60        0.7568             nan     0.1000   -0.0011
    80        0.7330             nan     0.1000   -0.0013
   100        0.7163             nan     0.1000   -0.0010
   120        0.6985             nan     0.1000   -0.0012
   140        0.6836             nan     0.1000   -0.0001
   160        0.6680             nan     0.1000   -0.0003
   180        0.6533             nan     0.1000   -0.0004
   200        0.6436             nan     0.1000   -0.0012
   220        0.6309             nan     0.1000   -0.0009
   240        0.6199             nan     0.1000   -0.0005
   260        0.6121             nan     0.1000   -0.0008
   280        0.6030             nan     0.1000   -0.0010
   300        0.5924             nan     0.1000   -0.0006
   320        0.5812             nan     0.1000   -0.0003
   340        0.5698             nan     0.1000   -0.0017
   360        0.5613             nan     0.1000   -0.0011
   380        0.5553             nan     0.1000   -0.0022
   400        0.5486             nan     0.1000   -0.0008
   420        0.5405             nan     0.1000   -0.0005
   440        0.5343             nan     0.1000   -0.0006
   460        0.5294             nan     0.1000   -0.0005
   480        0.5248             nan     0.1000   -0.0021
   500        0.5179             nan     0.1000   -0.0009
   520        0.5095             nan     0.1000   -0.0014
   540        0.5042             nan     0.1000   -0.0007
   560        0.4978             nan     0.1000   -0.0008
   580        0.4911             nan     0.1000   -0.0005
   600        0.4867             nan     0.1000   -0.0011
   620        0.4814             nan     0.1000   -0.0004
   640        0.4775             nan     0.1000   -0.0006
   660        0.4726             nan     0.1000   -0.0015
   680        0.4683             nan     0.1000   -0.0011
   700        0.4641             nan     0.1000   -0.0008
   720        0.4609             nan     0.1000   -0.0015
   740        0.4565             nan     0.1000   -0.0007
   760        0.4508             nan     0.1000   -0.0008
   780        0.4471             nan     0.1000   -0.0018
   800        0.4419             nan     0.1000   -0.0003
   820        0.4387             nan     0.1000   -0.0011
   840        0.4355             nan     0.1000   -0.0007
   860        0.4314             nan     0.1000   -0.0011
   880        0.4274             nan     0.1000   -0.0008
   900        0.4266             nan     0.1000   -0.0011
   920        0.4222             nan     0.1000   -0.0008
   940        0.4192             nan     0.1000   -0.0008
   960        0.4162             nan     0.1000   -0.0006
   980        0.4122             nan     0.1000   -0.0007
  1000        0.4080             nan     0.1000   -0.0010
  1020        0.4024             nan     0.1000   -0.0010
  1040        0.3995             nan     0.1000   -0.0019
  1060        0.3975             nan     0.1000   -0.0004
  1080        0.3934             nan     0.1000   -0.0006
  1100        0.3914             nan     0.1000   -0.0011

- Fold07.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold07.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2552             nan     0.1000    0.0407
     2        1.1879             nan     0.1000    0.0323
     3        1.1323             nan     0.1000    0.0262
     4        1.0867             nan     0.1000    0.0217
     5        1.0479             nan     0.1000    0.0165
     6        1.0204             nan     0.1000    0.0127
     7        0.9959             nan     0.1000    0.0124
     8        0.9721             nan     0.1000    0.0099
     9        0.9517             nan     0.1000    0.0075
    10        0.9347             nan     0.1000    0.0057
    20        0.8319             nan     0.1000    0.0018
    40        0.7558             nan     0.1000   -0.0006
    60        0.7153             nan     0.1000   -0.0004
    80        0.6820             nan     0.1000   -0.0019
   100        0.6539             nan     0.1000   -0.0007
   120        0.6346             nan     0.1000   -0.0013
   140        0.6123             nan     0.1000   -0.0012
   160        0.5945             nan     0.1000   -0.0008
   180        0.5784             nan     0.1000   -0.0004
   200        0.5616             nan     0.1000   -0.0011
   220        0.5456             nan     0.1000   -0.0014
   240        0.5303             nan     0.1000   -0.0010
   260        0.5237             nan     0.1000   -0.0011
   280        0.5129             nan     0.1000   -0.0004
   300        0.4993             nan     0.1000   -0.0014
   320        0.4911             nan     0.1000   -0.0011
   340        0.4815             nan     0.1000   -0.0016
   360        0.4716             nan     0.1000   -0.0007
   380        0.4597             nan     0.1000   -0.0016
   400        0.4516             nan     0.1000   -0.0018
   420        0.4416             nan     0.1000   -0.0009
   440        0.4336             nan     0.1000   -0.0016
   460        0.4229             nan     0.1000   -0.0012
   480        0.4167             nan     0.1000   -0.0013
   500        0.4105             nan     0.1000   -0.0007
   520        0.4028             nan     0.1000   -0.0008
   540        0.3969             nan     0.1000   -0.0010
   560        0.3897             nan     0.1000   -0.0008
   580        0.3825             nan     0.1000   -0.0008
   600        0.3757             nan     0.1000   -0.0012
   620        0.3671             nan     0.1000   -0.0011
   640        0.3623             nan     0.1000   -0.0011
   660        0.3543             nan     0.1000   -0.0010
   680        0.3483             nan     0.1000   -0.0002
   700        0.3424             nan     0.1000   -0.0009
   720        0.3371             nan     0.1000   -0.0010
   740        0.3318             nan     0.1000   -0.0010
   760        0.3279             nan     0.1000   -0.0013
   780        0.3248             nan     0.1000   -0.0009
   800        0.3211             nan     0.1000   -0.0012
   820        0.3180             nan     0.1000   -0.0009
   840        0.3140             nan     0.1000   -0.0009
   860        0.3087             nan     0.1000   -0.0012
   880        0.3041             nan     0.1000   -0.0009
   900        0.2995             nan     0.1000   -0.0007
   920        0.2953             nan     0.1000   -0.0007
   940        0.2915             nan     0.1000   -0.0004
   960        0.2872             nan     0.1000   -0.0007
   980        0.2836             nan     0.1000   -0.0008
  1000        0.2802             nan     0.1000   -0.0010
  1020        0.2772             nan     0.1000   -0.0010
  1040        0.2750             nan     0.1000   -0.0012
  1060        0.2719             nan     0.1000   -0.0011
  1080        0.2680             nan     0.1000   -0.0006
  1100        0.2659             nan     0.1000   -0.0005

- Fold07.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3263             nan     0.0100    0.0029
     2        1.3204             nan     0.0100    0.0028
     3        1.3148             nan     0.0100    0.0027
     4        1.3091             nan     0.0100    0.0027
     5        1.3038             nan     0.0100    0.0026
     6        1.2984             nan     0.0100    0.0025
     7        1.2932             nan     0.0100    0.0025
     8        1.2880             nan     0.0100    0.0025
     9        1.2828             nan     0.0100    0.0024
    10        1.2781             nan     0.0100    0.0024
    20        1.2334             nan     0.0100    0.0019
    40        1.1663             nan     0.0100    0.0013
    60        1.1192             nan     0.0100    0.0008
    80        1.0834             nan     0.0100    0.0008
   100        1.0542             nan     0.0100    0.0006
   120        1.0299             nan     0.0100    0.0005
   140        1.0096             nan     0.0100    0.0004
   160        0.9937             nan     0.0100    0.0003
   180        0.9790             nan     0.0100    0.0003
   200        0.9653             nan     0.0100    0.0002
   220        0.9540             nan     0.0100    0.0000
   240        0.9430             nan     0.0100    0.0001
   260        0.9337             nan     0.0100    0.0001
   280        0.9255             nan     0.0100    0.0001
   300        0.9173             nan     0.0100    0.0000
   320        0.9106             nan     0.0100    0.0001
   340        0.9046             nan     0.0100    0.0000
   360        0.8986             nan     0.0100    0.0001
   380        0.8925             nan     0.0100    0.0001
   400        0.8872             nan     0.0100    0.0000
   420        0.8821             nan     0.0100    0.0000
   440        0.8775             nan     0.0100    0.0000
   460        0.8732             nan     0.0100    0.0001
   480        0.8693             nan     0.0100   -0.0000
   500        0.8652             nan     0.0100   -0.0000
   520        0.8616             nan     0.0100    0.0000
   540        0.8580             nan     0.0100    0.0000
   560        0.8546             nan     0.0100    0.0000
   580        0.8512             nan     0.0100   -0.0000
   600        0.8480             nan     0.0100    0.0000
   620        0.8451             nan     0.0100    0.0000
   640        0.8422             nan     0.0100   -0.0000
   660        0.8393             nan     0.0100    0.0000
   680        0.8367             nan     0.0100   -0.0001
   700        0.8342             nan     0.0100   -0.0000
   720        0.8320             nan     0.0100   -0.0000
   740        0.8296             nan     0.0100   -0.0000
   760        0.8272             nan     0.0100   -0.0001
   780        0.8251             nan     0.0100   -0.0000
   800        0.8229             nan     0.0100   -0.0000
   820        0.8211             nan     0.0100   -0.0001
   840        0.8190             nan     0.0100   -0.0001
   860        0.8170             nan     0.0100   -0.0000
   880        0.8152             nan     0.0100   -0.0000
   900        0.8137             nan     0.0100   -0.0001
   920        0.8119             nan     0.0100   -0.0000
   940        0.8103             nan     0.0100   -0.0001
   960        0.8086             nan     0.0100   -0.0000
   980        0.8067             nan     0.0100   -0.0000
  1000        0.8051             nan     0.0100   -0.0000
  1020        0.8037             nan     0.0100   -0.0000
  1040        0.8025             nan     0.0100   -0.0001
  1060        0.8011             nan     0.0100   -0.0001
  1080        0.7997             nan     0.0100   -0.0000
  1100        0.7985             nan     0.0100   -0.0000

- Fold08.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3251             nan     0.0100    0.0036
     2        1.3183             nan     0.0100    0.0035
     3        1.3124             nan     0.0100    0.0029
     4        1.3056             nan     0.0100    0.0032
     5        1.2985             nan     0.0100    0.0033
     6        1.2922             nan     0.0100    0.0034
     7        1.2860             nan     0.0100    0.0032
     8        1.2800             nan     0.0100    0.0029
     9        1.2736             nan     0.0100    0.0030
    10        1.2674             nan     0.0100    0.0030
    20        1.2114             nan     0.0100    0.0025
    40        1.1265             nan     0.0100    0.0019
    60        1.0640             nan     0.0100    0.0012
    80        1.0163             nan     0.0100    0.0008
   100        0.9798             nan     0.0100    0.0005
   120        0.9516             nan     0.0100    0.0002
   140        0.9293             nan     0.0100    0.0003
   160        0.9110             nan     0.0100    0.0003
   180        0.8951             nan     0.0100    0.0003
   200        0.8822             nan     0.0100    0.0002
   220        0.8704             nan     0.0100   -0.0000
   240        0.8604             nan     0.0100    0.0001
   260        0.8506             nan     0.0100    0.0002
   280        0.8425             nan     0.0100    0.0001
   300        0.8350             nan     0.0100    0.0000
   320        0.8283             nan     0.0100    0.0000
   340        0.8219             nan     0.0100   -0.0000
   360        0.8164             nan     0.0100   -0.0000
   380        0.8109             nan     0.0100   -0.0000
   400        0.8056             nan     0.0100    0.0000
   420        0.8011             nan     0.0100    0.0000
   440        0.7966             nan     0.0100   -0.0000
   460        0.7919             nan     0.0100   -0.0001
   480        0.7880             nan     0.0100   -0.0001
   500        0.7841             nan     0.0100   -0.0001
   520        0.7803             nan     0.0100   -0.0000
   540        0.7769             nan     0.0100   -0.0000
   560        0.7731             nan     0.0100   -0.0000
   580        0.7695             nan     0.0100   -0.0000
   600        0.7661             nan     0.0100   -0.0001
   620        0.7632             nan     0.0100   -0.0001
   640        0.7603             nan     0.0100   -0.0001
   660        0.7578             nan     0.0100   -0.0000
   680        0.7553             nan     0.0100   -0.0001
   700        0.7529             nan     0.0100   -0.0001
   720        0.7503             nan     0.0100   -0.0001
   740        0.7476             nan     0.0100   -0.0002
   760        0.7448             nan     0.0100   -0.0001
   780        0.7422             nan     0.0100   -0.0001
   800        0.7397             nan     0.0100   -0.0001
   820        0.7375             nan     0.0100   -0.0000
   840        0.7350             nan     0.0100   -0.0001
   860        0.7323             nan     0.0100   -0.0001
   880        0.7299             nan     0.0100   -0.0000
   900        0.7280             nan     0.0100   -0.0001
   920        0.7261             nan     0.0100    0.0001
   940        0.7240             nan     0.0100   -0.0001
   960        0.7224             nan     0.0100   -0.0001
   980        0.7208             nan     0.0100   -0.0001
  1000        0.7190             nan     0.0100   -0.0001
  1020        0.7174             nan     0.0100   -0.0001
  1040        0.7155             nan     0.0100   -0.0001
  1060        0.7138             nan     0.0100   -0.0001
  1080        0.7119             nan     0.0100   -0.0001
  1100        0.7096             nan     0.0100   -0.0000

- Fold08.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3240             nan     0.0100    0.0036
     2        1.3166             nan     0.0100    0.0037
     3        1.3088             nan     0.0100    0.0038
     4        1.3015             nan     0.0100    0.0035
     5        1.2943             nan     0.0100    0.0036
     6        1.2874             nan     0.0100    0.0036
     7        1.2807             nan     0.0100    0.0030
     8        1.2737             nan     0.0100    0.0034
     9        1.2668             nan     0.0100    0.0031
    10        1.2594             nan     0.0100    0.0033
    20        1.1991             nan     0.0100    0.0028
    40        1.1039             nan     0.0100    0.0020
    60        1.0336             nan     0.0100    0.0013
    80        0.9821             nan     0.0100    0.0007
   100        0.9452             nan     0.0100    0.0007
   120        0.9162             nan     0.0100    0.0005
   140        0.8934             nan     0.0100    0.0002
   160        0.8736             nan     0.0100    0.0003
   180        0.8580             nan     0.0100    0.0004
   200        0.8448             nan     0.0100   -0.0000
   220        0.8325             nan     0.0100    0.0001
   240        0.8218             nan     0.0100    0.0001
   260        0.8114             nan     0.0100    0.0002
   280        0.8020             nan     0.0100    0.0001
   300        0.7939             nan     0.0100    0.0000
   320        0.7857             nan     0.0100   -0.0001
   340        0.7785             nan     0.0100    0.0001
   360        0.7721             nan     0.0100    0.0000
   380        0.7664             nan     0.0100   -0.0000
   400        0.7608             nan     0.0100   -0.0000
   420        0.7558             nan     0.0100   -0.0001
   440        0.7510             nan     0.0100    0.0000
   460        0.7462             nan     0.0100   -0.0001
   480        0.7416             nan     0.0100   -0.0001
   500        0.7371             nan     0.0100   -0.0001
   520        0.7330             nan     0.0100   -0.0000
   540        0.7289             nan     0.0100   -0.0001
   560        0.7245             nan     0.0100   -0.0001
   580        0.7204             nan     0.0100    0.0000
   600        0.7171             nan     0.0100   -0.0000
   620        0.7130             nan     0.0100   -0.0000
   640        0.7094             nan     0.0100   -0.0001
   660        0.7060             nan     0.0100   -0.0001
   680        0.7020             nan     0.0100   -0.0000
   700        0.6986             nan     0.0100   -0.0001
   720        0.6959             nan     0.0100   -0.0001
   740        0.6930             nan     0.0100   -0.0001
   760        0.6903             nan     0.0100   -0.0002
   780        0.6873             nan     0.0100   -0.0000
   800        0.6844             nan     0.0100   -0.0001
   820        0.6817             nan     0.0100   -0.0001
   840        0.6788             nan     0.0100   -0.0001
   860        0.6764             nan     0.0100   -0.0000
   880        0.6739             nan     0.0100   -0.0000
   900        0.6717             nan     0.0100   -0.0002
   920        0.6694             nan     0.0100   -0.0001
   940        0.6668             nan     0.0100   -0.0001
   960        0.6640             nan     0.0100   -0.0001
   980        0.6618             nan     0.0100   -0.0001
  1000        0.6596             nan     0.0100   -0.0003
  1020        0.6571             nan     0.0100   -0.0001
  1040        0.6549             nan     0.0100   -0.0002
  1060        0.6518             nan     0.0100   -0.0001
  1080        0.6494             nan     0.0100   -0.0001
  1100        0.6470             nan     0.0100   -0.0001

- Fold08.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2758             nan     0.1000    0.0281
     2        1.2298             nan     0.1000    0.0211
     3        1.1889             nan     0.1000    0.0182
     4        1.1573             nan     0.1000    0.0149
     5        1.1323             nan     0.1000    0.0123
     6        1.1143             nan     0.1000    0.0072
     7        1.0934             nan     0.1000    0.0095
     8        1.0769             nan     0.1000    0.0075
     9        1.0636             nan     0.1000    0.0070
    10        1.0485             nan     0.1000    0.0074
    20        0.9632             nan     0.1000    0.0021
    40        0.8837             nan     0.1000    0.0007
    60        0.8493             nan     0.1000   -0.0002
    80        0.8221             nan     0.1000   -0.0010
   100        0.8038             nan     0.1000   -0.0005
   120        0.7913             nan     0.1000    0.0000
   140        0.7805             nan     0.1000   -0.0003
   160        0.7721             nan     0.1000   -0.0006
   180        0.7652             nan     0.1000   -0.0001
   200        0.7595             nan     0.1000   -0.0005
   220        0.7528             nan     0.1000   -0.0006
   240        0.7466             nan     0.1000   -0.0011
   260        0.7413             nan     0.1000   -0.0002
   280        0.7362             nan     0.1000    0.0000
   300        0.7312             nan     0.1000   -0.0008
   320        0.7288             nan     0.1000   -0.0011
   340        0.7251             nan     0.1000   -0.0007
   360        0.7221             nan     0.1000   -0.0006
   380        0.7191             nan     0.1000   -0.0002
   400        0.7161             nan     0.1000   -0.0003
   420        0.7118             nan     0.1000   -0.0003
   440        0.7089             nan     0.1000   -0.0009
   460        0.7068             nan     0.1000   -0.0015
   480        0.7039             nan     0.1000   -0.0011
   500        0.6999             nan     0.1000   -0.0006
   520        0.6977             nan     0.1000   -0.0004
   540        0.6950             nan     0.1000   -0.0011
   560        0.6929             nan     0.1000   -0.0005
   580        0.6906             nan     0.1000   -0.0008
   600        0.6892             nan     0.1000   -0.0002
   620        0.6869             nan     0.1000   -0.0006
   640        0.6844             nan     0.1000   -0.0004
   660        0.6819             nan     0.1000   -0.0006
   680        0.6814             nan     0.1000   -0.0007
   700        0.6804             nan     0.1000   -0.0012
   720        0.6790             nan     0.1000   -0.0014
   740        0.6779             nan     0.1000   -0.0009
   760        0.6771             nan     0.1000   -0.0009
   780        0.6747             nan     0.1000   -0.0009
   800        0.6721             nan     0.1000   -0.0009
   820        0.6708             nan     0.1000   -0.0008
   840        0.6692             nan     0.1000   -0.0009
   860        0.6683             nan     0.1000   -0.0007
   880        0.6668             nan     0.1000   -0.0005
   900        0.6658             nan     0.1000   -0.0013
   920        0.6633             nan     0.1000   -0.0006
   940        0.6613             nan     0.1000   -0.0009
   960        0.6597             nan     0.1000   -0.0007
   980        0.6586             nan     0.1000   -0.0007
  1000        0.6565             nan     0.1000   -0.0011
  1020        0.6553             nan     0.1000   -0.0009
  1040        0.6543             nan     0.1000   -0.0011
  1060        0.6532             nan     0.1000   -0.0010
  1080        0.6518             nan     0.1000   -0.0005
  1100        0.6500             nan     0.1000   -0.0008

- Fold08.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2651             nan     0.1000    0.0297
     2        1.2046             nan     0.1000    0.0281
     3        1.1562             nan     0.1000    0.0239
     4        1.1209             nan     0.1000    0.0186
     5        1.0814             nan     0.1000    0.0185
     6        1.0544             nan     0.1000    0.0112
     7        1.0271             nan     0.1000    0.0121
     8        1.0046             nan     0.1000    0.0102
     9        0.9877             nan     0.1000    0.0084
    10        0.9723             nan     0.1000    0.0070
    20        0.8782             nan     0.1000    0.0024
    40        0.8019             nan     0.1000    0.0000
    60        0.7649             nan     0.1000   -0.0005
    80        0.7350             nan     0.1000   -0.0011
   100        0.7160             nan     0.1000   -0.0007
   120        0.6986             nan     0.1000   -0.0008
   140        0.6831             nan     0.1000   -0.0009
   160        0.6689             nan     0.1000   -0.0008
   180        0.6584             nan     0.1000   -0.0004
   200        0.6445             nan     0.1000   -0.0007
   220        0.6309             nan     0.1000   -0.0007
   240        0.6201             nan     0.1000   -0.0018
   260        0.6102             nan     0.1000   -0.0007
   280        0.6013             nan     0.1000   -0.0010
   300        0.5915             nan     0.1000   -0.0009
   320        0.5838             nan     0.1000   -0.0006
   340        0.5745             nan     0.1000   -0.0006
   360        0.5668             nan     0.1000   -0.0007
   380        0.5585             nan     0.1000   -0.0007
   400        0.5521             nan     0.1000   -0.0006
   420        0.5468             nan     0.1000   -0.0008
   440        0.5381             nan     0.1000   -0.0010
   460        0.5310             nan     0.1000   -0.0008
   480        0.5257             nan     0.1000   -0.0009
   500        0.5206             nan     0.1000   -0.0005
   520        0.5146             nan     0.1000   -0.0004
   540        0.5087             nan     0.1000   -0.0007
   560        0.5037             nan     0.1000   -0.0017
   580        0.4964             nan     0.1000   -0.0006
   600        0.4927             nan     0.1000   -0.0006
   620        0.4869             nan     0.1000   -0.0008
   640        0.4806             nan     0.1000   -0.0010
   660        0.4771             nan     0.1000   -0.0010
   680        0.4728             nan     0.1000   -0.0010
   700        0.4697             nan     0.1000   -0.0010
   720        0.4656             nan     0.1000   -0.0005
   740        0.4594             nan     0.1000   -0.0013
   760        0.4561             nan     0.1000   -0.0008
   780        0.4507             nan     0.1000   -0.0011
   800        0.4463             nan     0.1000   -0.0007
   820        0.4443             nan     0.1000   -0.0013
   840        0.4401             nan     0.1000   -0.0013
   860        0.4375             nan     0.1000   -0.0008
   880        0.4333             nan     0.1000   -0.0005
   900        0.4276             nan     0.1000   -0.0013
   920        0.4242             nan     0.1000   -0.0003
   940        0.4216             nan     0.1000   -0.0010
   960        0.4182             nan     0.1000   -0.0007
   980        0.4149             nan     0.1000   -0.0004
  1000        0.4108             nan     0.1000   -0.0011
  1020        0.4077             nan     0.1000   -0.0006
  1040        0.4054             nan     0.1000   -0.0007
  1060        0.4036             nan     0.1000   -0.0004
  1080        0.4000             nan     0.1000   -0.0009
  1100        0.3974             nan     0.1000   -0.0012

- Fold08.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold08.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2588             nan     0.1000    0.0362
     2        1.1931             nan     0.1000    0.0318
     3        1.1407             nan     0.1000    0.0238
     4        1.0947             nan     0.1000    0.0228
     5        1.0563             nan     0.1000    0.0188
     6        1.0208             nan     0.1000    0.0131
     7        0.9905             nan     0.1000    0.0107
     8        0.9703             nan     0.1000    0.0088
     9        0.9500             nan     0.1000    0.0087
    10        0.9329             nan     0.1000    0.0076
    20        0.8378             nan     0.1000    0.0006
    40        0.7610             nan     0.1000    0.0012
    60        0.7166             nan     0.1000   -0.0019
    80        0.6839             nan     0.1000   -0.0011
   100        0.6587             nan     0.1000   -0.0011
   120        0.6318             nan     0.1000   -0.0008
   140        0.6131             nan     0.1000   -0.0012
   160        0.5964             nan     0.1000   -0.0014
   180        0.5818             nan     0.1000   -0.0006
   200        0.5638             nan     0.1000   -0.0027
   220        0.5495             nan     0.1000   -0.0012
   240        0.5356             nan     0.1000   -0.0011
   260        0.5208             nan     0.1000   -0.0010
   280        0.5054             nan     0.1000   -0.0013
   300        0.4926             nan     0.1000   -0.0011
   320        0.4831             nan     0.1000   -0.0011
   340        0.4742             nan     0.1000   -0.0024
   360        0.4643             nan     0.1000   -0.0015
   380        0.4547             nan     0.1000   -0.0013
   400        0.4428             nan     0.1000   -0.0008
   420        0.4354             nan     0.1000   -0.0011
   440        0.4262             nan     0.1000   -0.0008
   460        0.4196             nan     0.1000   -0.0009
   480        0.4135             nan     0.1000   -0.0014
   500        0.4046             nan     0.1000   -0.0011
   520        0.3965             nan     0.1000   -0.0009
   540        0.3894             nan     0.1000   -0.0006
   560        0.3813             nan     0.1000   -0.0006
   580        0.3740             nan     0.1000   -0.0007
   600        0.3699             nan     0.1000   -0.0011
   620        0.3632             nan     0.1000   -0.0010
   640        0.3569             nan     0.1000   -0.0005
   660        0.3518             nan     0.1000   -0.0005
   680        0.3452             nan     0.1000   -0.0009
   700        0.3388             nan     0.1000   -0.0009
   720        0.3330             nan     0.1000   -0.0013
   740        0.3284             nan     0.1000   -0.0009
   760        0.3223             nan     0.1000   -0.0004
   780        0.3175             nan     0.1000   -0.0006
   800        0.3138             nan     0.1000   -0.0007
   820        0.3105             nan     0.1000   -0.0011
   840        0.3052             nan     0.1000   -0.0009
   860        0.3004             nan     0.1000   -0.0003
   880        0.2976             nan     0.1000   -0.0004
   900        0.2923             nan     0.1000   -0.0014
   920        0.2887             nan     0.1000   -0.0009
   940        0.2866             nan     0.1000   -0.0010
   960        0.2818             nan     0.1000   -0.0010
   980        0.2783             nan     0.1000   -0.0015
  1000        0.2760             nan     0.1000   -0.0006
  1020        0.2730             nan     0.1000   -0.0011
  1040        0.2685             nan     0.1000   -0.0012
  1060        0.2659             nan     0.1000   -0.0006
  1080        0.2634             nan     0.1000   -0.0007
  1100        0.2600             nan     0.1000   -0.0012

- Fold08.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3260             nan     0.0100    0.0030
     2        1.3202             nan     0.0100    0.0029
     3        1.3147             nan     0.0100    0.0028
     4        1.3092             nan     0.0100    0.0028
     5        1.3038             nan     0.0100    0.0027
     6        1.2985             nan     0.0100    0.0027
     7        1.2932             nan     0.0100    0.0026
     8        1.2880             nan     0.0100    0.0025
     9        1.2827             nan     0.0100    0.0025
    10        1.2773             nan     0.0100    0.0025
    20        1.2337             nan     0.0100    0.0020
    40        1.1660             nan     0.0100    0.0014
    60        1.1179             nan     0.0100    0.0011
    80        1.0803             nan     0.0100    0.0008
   100        1.0493             nan     0.0100    0.0007
   120        1.0231             nan     0.0100    0.0005
   140        1.0018             nan     0.0100    0.0004
   160        0.9836             nan     0.0100    0.0003
   180        0.9670             nan     0.0100    0.0002
   200        0.9528             nan     0.0100    0.0003
   220        0.9405             nan     0.0100    0.0002
   240        0.9290             nan     0.0100    0.0002
   260        0.9187             nan     0.0100    0.0001
   280        0.9100             nan     0.0100    0.0001
   300        0.9015             nan     0.0100    0.0002
   320        0.8942             nan     0.0100    0.0001
   340        0.8871             nan     0.0100    0.0001
   360        0.8808             nan     0.0100    0.0001
   380        0.8750             nan     0.0100    0.0000
   400        0.8698             nan     0.0100    0.0001
   420        0.8648             nan     0.0100   -0.0001
   440        0.8600             nan     0.0100    0.0001
   460        0.8560             nan     0.0100    0.0000
   480        0.8518             nan     0.0100    0.0001
   500        0.8479             nan     0.0100    0.0000
   520        0.8439             nan     0.0100   -0.0000
   540        0.8404             nan     0.0100    0.0000
   560        0.8371             nan     0.0100    0.0000
   580        0.8338             nan     0.0100    0.0000
   600        0.8307             nan     0.0100    0.0000
   620        0.8279             nan     0.0100    0.0000
   640        0.8252             nan     0.0100   -0.0000
   660        0.8224             nan     0.0100   -0.0000
   680        0.8197             nan     0.0100   -0.0000
   700        0.8169             nan     0.0100    0.0000
   720        0.8145             nan     0.0100   -0.0001
   740        0.8121             nan     0.0100   -0.0000
   760        0.8099             nan     0.0100   -0.0001
   780        0.8079             nan     0.0100   -0.0000
   800        0.8057             nan     0.0100   -0.0001
   820        0.8037             nan     0.0100    0.0000
   840        0.8018             nan     0.0100    0.0000
   860        0.7998             nan     0.0100   -0.0000
   880        0.7981             nan     0.0100   -0.0001
   900        0.7962             nan     0.0100    0.0000
   920        0.7942             nan     0.0100   -0.0000
   940        0.7926             nan     0.0100   -0.0000
   960        0.7907             nan     0.0100   -0.0000
   980        0.7893             nan     0.0100    0.0000
  1000        0.7877             nan     0.0100   -0.0000
  1020        0.7861             nan     0.0100    0.0000
  1040        0.7846             nan     0.0100   -0.0000
  1060        0.7831             nan     0.0100   -0.0000
  1080        0.7817             nan     0.0100   -0.0000
  1100        0.7804             nan     0.0100   -0.0001

- Fold09.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3243             nan     0.0100    0.0037
     2        1.3164             nan     0.0100    0.0034
     3        1.3091             nan     0.0100    0.0035
     4        1.3017             nan     0.0100    0.0035
     5        1.2952             nan     0.0100    0.0035
     6        1.2886             nan     0.0100    0.0032
     7        1.2825             nan     0.0100    0.0033
     8        1.2763             nan     0.0100    0.0032
     9        1.2696             nan     0.0100    0.0031
    10        1.2635             nan     0.0100    0.0031
    20        1.2071             nan     0.0100    0.0027
    40        1.1168             nan     0.0100    0.0016
    60        1.0511             nan     0.0100    0.0014
    80        1.0015             nan     0.0100    0.0010
   100        0.9637             nan     0.0100    0.0008
   120        0.9337             nan     0.0100    0.0006
   140        0.9111             nan     0.0100    0.0004
   160        0.8923             nan     0.0100    0.0004
   180        0.8769             nan     0.0100    0.0003
   200        0.8636             nan     0.0100    0.0003
   220        0.8530             nan     0.0100    0.0000
   240        0.8422             nan     0.0100    0.0001
   260        0.8327             nan     0.0100    0.0001
   280        0.8248             nan     0.0100   -0.0001
   300        0.8169             nan     0.0100   -0.0000
   320        0.8096             nan     0.0100    0.0002
   340        0.8027             nan     0.0100   -0.0000
   360        0.7974             nan     0.0100   -0.0001
   380        0.7919             nan     0.0100    0.0001
   400        0.7865             nan     0.0100   -0.0000
   420        0.7813             nan     0.0100   -0.0000
   440        0.7767             nan     0.0100    0.0001
   460        0.7715             nan     0.0100   -0.0001
   480        0.7671             nan     0.0100   -0.0002
   500        0.7632             nan     0.0100   -0.0001
   520        0.7595             nan     0.0100   -0.0001
   540        0.7560             nan     0.0100   -0.0002
   560        0.7526             nan     0.0100   -0.0000
   580        0.7493             nan     0.0100   -0.0001
   600        0.7463             nan     0.0100   -0.0000
   620        0.7432             nan     0.0100    0.0000
   640        0.7403             nan     0.0100   -0.0000
   660        0.7373             nan     0.0100   -0.0001
   680        0.7343             nan     0.0100   -0.0001
   700        0.7320             nan     0.0100   -0.0001
   720        0.7292             nan     0.0100   -0.0001
   740        0.7269             nan     0.0100   -0.0001
   760        0.7244             nan     0.0100   -0.0001
   780        0.7216             nan     0.0100   -0.0001
   800        0.7191             nan     0.0100   -0.0000
   820        0.7168             nan     0.0100   -0.0001
   840        0.7141             nan     0.0100   -0.0001
   860        0.7119             nan     0.0100   -0.0001
   880        0.7096             nan     0.0100   -0.0001
   900        0.7079             nan     0.0100   -0.0001
   920        0.7054             nan     0.0100   -0.0001
   940        0.7033             nan     0.0100   -0.0001
   960        0.7010             nan     0.0100   -0.0000
   980        0.6994             nan     0.0100   -0.0001
  1000        0.6975             nan     0.0100   -0.0002
  1020        0.6956             nan     0.0100   -0.0001
  1040        0.6937             nan     0.0100    0.0000
  1060        0.6913             nan     0.0100   -0.0000
  1080        0.6895             nan     0.0100    0.0001
  1100        0.6875             nan     0.0100   -0.0001

- Fold09.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3235             nan     0.0100    0.0038
     2        1.3154             nan     0.0100    0.0039
     3        1.3076             nan     0.0100    0.0039
     4        1.2996             nan     0.0100    0.0041
     5        1.2922             nan     0.0100    0.0039
     6        1.2850             nan     0.0100    0.0036
     7        1.2776             nan     0.0100    0.0036
     8        1.2707             nan     0.0100    0.0032
     9        1.2639             nan     0.0100    0.0034
    10        1.2567             nan     0.0100    0.0033
    20        1.1932             nan     0.0100    0.0027
    40        1.0950             nan     0.0100    0.0018
    60        1.0224             nan     0.0100    0.0014
    80        0.9682             nan     0.0100    0.0006
   100        0.9278             nan     0.0100    0.0009
   120        0.8960             nan     0.0100    0.0005
   140        0.8715             nan     0.0100    0.0004
   160        0.8512             nan     0.0100    0.0005
   180        0.8350             nan     0.0100    0.0001
   200        0.8204             nan     0.0100    0.0001
   220        0.8084             nan     0.0100   -0.0000
   240        0.7971             nan     0.0100   -0.0000
   260        0.7872             nan     0.0100    0.0000
   280        0.7785             nan     0.0100    0.0001
   300        0.7711             nan     0.0100    0.0000
   320        0.7630             nan     0.0100   -0.0001
   340        0.7562             nan     0.0100    0.0001
   360        0.7500             nan     0.0100    0.0000
   380        0.7437             nan     0.0100   -0.0001
   400        0.7380             nan     0.0100   -0.0000
   420        0.7334             nan     0.0100   -0.0000
   440        0.7283             nan     0.0100   -0.0001
   460        0.7235             nan     0.0100   -0.0002
   480        0.7189             nan     0.0100   -0.0001
   500        0.7144             nan     0.0100   -0.0001
   520        0.7103             nan     0.0100    0.0000
   540        0.7064             nan     0.0100   -0.0000
   560        0.7020             nan     0.0100   -0.0001
   580        0.6983             nan     0.0100   -0.0001
   600        0.6943             nan     0.0100   -0.0000
   620        0.6903             nan     0.0100   -0.0000
   640        0.6869             nan     0.0100   -0.0001
   660        0.6832             nan     0.0100   -0.0001
   680        0.6800             nan     0.0100   -0.0000
   700        0.6769             nan     0.0100   -0.0002
   720        0.6737             nan     0.0100   -0.0002
   740        0.6705             nan     0.0100   -0.0003
   760        0.6676             nan     0.0100   -0.0002
   780        0.6645             nan     0.0100   -0.0001
   800        0.6613             nan     0.0100   -0.0001
   820        0.6581             nan     0.0100   -0.0001
   840        0.6550             nan     0.0100   -0.0001
   860        0.6520             nan     0.0100   -0.0002
   880        0.6495             nan     0.0100   -0.0001
   900        0.6468             nan     0.0100   -0.0000
   920        0.6446             nan     0.0100   -0.0001
   940        0.6417             nan     0.0100   -0.0001
   960        0.6391             nan     0.0100   -0.0002
   980        0.6364             nan     0.0100   -0.0001
  1000        0.6337             nan     0.0100   -0.0001
  1020        0.6311             nan     0.0100   -0.0001
  1040        0.6289             nan     0.0100   -0.0001
  1060        0.6265             nan     0.0100   -0.0001
  1080        0.6241             nan     0.0100   -0.0001
  1100        0.6207             nan     0.0100    0.0000

- Fold09.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2726             nan     0.1000    0.0277
     2        1.2287             nan     0.1000    0.0237
     3        1.1932             nan     0.1000    0.0190
     4        1.1577             nan     0.1000    0.0148
     5        1.1365             nan     0.1000    0.0078
     6        1.1096             nan     0.1000    0.0116
     7        1.0892             nan     0.1000    0.0100
     8        1.0689             nan     0.1000    0.0075
     9        1.0513             nan     0.1000    0.0055
    10        1.0355             nan     0.1000    0.0061
    20        0.9466             nan     0.1000    0.0020
    40        0.8655             nan     0.1000    0.0005
    60        0.8296             nan     0.1000    0.0002
    80        0.8067             nan     0.1000   -0.0002
   100        0.7891             nan     0.1000   -0.0004
   120        0.7751             nan     0.1000   -0.0003
   140        0.7632             nan     0.1000   -0.0008
   160        0.7544             nan     0.1000   -0.0022
   180        0.7472             nan     0.1000    0.0001
   200        0.7395             nan     0.1000   -0.0004
   220        0.7352             nan     0.1000   -0.0009
   240        0.7286             nan     0.1000   -0.0007
   260        0.7242             nan     0.1000   -0.0009
   280        0.7199             nan     0.1000   -0.0004
   300        0.7180             nan     0.1000   -0.0004
   320        0.7132             nan     0.1000   -0.0008
   340        0.7077             nan     0.1000   -0.0006
   360        0.7053             nan     0.1000   -0.0009
   380        0.7024             nan     0.1000   -0.0012
   400        0.6988             nan     0.1000   -0.0016
   420        0.6957             nan     0.1000   -0.0006
   440        0.6924             nan     0.1000   -0.0008
   460        0.6888             nan     0.1000   -0.0007
   480        0.6872             nan     0.1000   -0.0012
   500        0.6840             nan     0.1000   -0.0005
   520        0.6809             nan     0.1000   -0.0013
   540        0.6782             nan     0.1000   -0.0009
   560        0.6763             nan     0.1000   -0.0013
   580        0.6733             nan     0.1000   -0.0012
   600        0.6704             nan     0.1000   -0.0006
   620        0.6696             nan     0.1000   -0.0006
   640        0.6662             nan     0.1000   -0.0011
   660        0.6638             nan     0.1000   -0.0015
   680        0.6619             nan     0.1000   -0.0002
   700        0.6601             nan     0.1000   -0.0013
   720        0.6594             nan     0.1000   -0.0014
   740        0.6565             nan     0.1000   -0.0008
   760        0.6537             nan     0.1000   -0.0003
   780        0.6524             nan     0.1000   -0.0002
   800        0.6502             nan     0.1000   -0.0009
   820        0.6488             nan     0.1000   -0.0010
   840        0.6475             nan     0.1000   -0.0018
   860        0.6448             nan     0.1000   -0.0005
   880        0.6432             nan     0.1000   -0.0004
   900        0.6410             nan     0.1000   -0.0016
   920        0.6398             nan     0.1000   -0.0008
   940        0.6384             nan     0.1000   -0.0006
   960        0.6371             nan     0.1000   -0.0007
   980        0.6355             nan     0.1000   -0.0004
  1000        0.6342             nan     0.1000   -0.0009
  1020        0.6318             nan     0.1000   -0.0007
  1040        0.6294             nan     0.1000   -0.0007
  1060        0.6275             nan     0.1000   -0.0003
  1080        0.6264             nan     0.1000   -0.0014
  1100        0.6261             nan     0.1000   -0.0007

- Fold09.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2573             nan     0.1000    0.0347
     2        1.1988             nan     0.1000    0.0294
     3        1.1544             nan     0.1000    0.0210
     4        1.1157             nan     0.1000    0.0204
     5        1.0803             nan     0.1000    0.0164
     6        1.0499             nan     0.1000    0.0151
     7        1.0214             nan     0.1000    0.0130
     8        0.9988             nan     0.1000    0.0101
     9        0.9782             nan     0.1000    0.0097
    10        0.9622             nan     0.1000    0.0076
    20        0.8576             nan     0.1000    0.0031
    40        0.7782             nan     0.1000    0.0004
    60        0.7397             nan     0.1000    0.0012
    80        0.7105             nan     0.1000   -0.0014
   100        0.6881             nan     0.1000   -0.0010
   120        0.6735             nan     0.1000   -0.0015
   140        0.6597             nan     0.1000   -0.0010
   160        0.6465             nan     0.1000   -0.0003
   180        0.6317             nan     0.1000   -0.0014
   200        0.6207             nan     0.1000   -0.0020
   220        0.6065             nan     0.1000   -0.0013
   240        0.5974             nan     0.1000   -0.0011
   260        0.5884             nan     0.1000   -0.0004
   280        0.5784             nan     0.1000   -0.0006
   300        0.5706             nan     0.1000   -0.0015
   320        0.5614             nan     0.1000   -0.0008
   340        0.5533             nan     0.1000   -0.0012
   360        0.5446             nan     0.1000   -0.0009
   380        0.5363             nan     0.1000   -0.0009
   400        0.5299             nan     0.1000   -0.0006
   420        0.5246             nan     0.1000   -0.0014
   440        0.5170             nan     0.1000   -0.0008
   460        0.5107             nan     0.1000   -0.0012
   480        0.5048             nan     0.1000   -0.0004
   500        0.4968             nan     0.1000   -0.0010
   520        0.4904             nan     0.1000   -0.0007
   540        0.4829             nan     0.1000   -0.0002
   560        0.4777             nan     0.1000   -0.0006
   580        0.4718             nan     0.1000   -0.0007
   600        0.4668             nan     0.1000   -0.0009
   620        0.4613             nan     0.1000   -0.0008
   640        0.4551             nan     0.1000   -0.0007
   660        0.4496             nan     0.1000   -0.0009
   680        0.4446             nan     0.1000   -0.0004
   700        0.4398             nan     0.1000   -0.0010
   720        0.4338             nan     0.1000   -0.0007
   740        0.4299             nan     0.1000   -0.0018
   760        0.4253             nan     0.1000   -0.0008
   780        0.4216             nan     0.1000   -0.0010
   800        0.4172             nan     0.1000   -0.0007
   820        0.4127             nan     0.1000   -0.0006
   840        0.4095             nan     0.1000   -0.0007
   860        0.4057             nan     0.1000   -0.0007
   880        0.4020             nan     0.1000   -0.0004
   900        0.3984             nan     0.1000   -0.0005
   920        0.3949             nan     0.1000   -0.0003
   940        0.3919             nan     0.1000   -0.0007
   960        0.3892             nan     0.1000   -0.0017
   980        0.3853             nan     0.1000   -0.0005
  1000        0.3821             nan     0.1000   -0.0005
  1020        0.3803             nan     0.1000   -0.0012
  1040        0.3786             nan     0.1000   -0.0007
  1060        0.3761             nan     0.1000   -0.0004
  1080        0.3731             nan     0.1000   -0.0016
  1100        0.3698             nan     0.1000   -0.0012

- Fold09.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold09.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 

variable 38: CabinCodeT has no variation.

Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2582             nan     0.1000    0.0377
     2        1.1871             nan     0.1000    0.0349
     3        1.1342             nan     0.1000    0.0263
     4        1.0865             nan     0.1000    0.0218
     5        1.0490             nan     0.1000    0.0170
     6        1.0162             nan     0.1000    0.0145
     7        0.9866             nan     0.1000    0.0133
     8        0.9627             nan     0.1000    0.0103
     9        0.9420             nan     0.1000    0.0094
    10        0.9277             nan     0.1000    0.0060
    20        0.8180             nan     0.1000    0.0036
    40        0.7376             nan     0.1000    0.0006
    60        0.6911             nan     0.1000   -0.0011
    80        0.6527             nan     0.1000   -0.0015
   100        0.6243             nan     0.1000   -0.0023
   120        0.6001             nan     0.1000   -0.0003
   140        0.5830             nan     0.1000   -0.0018
   160        0.5662             nan     0.1000   -0.0012
   180        0.5528             nan     0.1000   -0.0013
   200        0.5348             nan     0.1000   -0.0009
   220        0.5211             nan     0.1000   -0.0011
   240        0.5084             nan     0.1000   -0.0014
   260        0.4935             nan     0.1000   -0.0010
   280        0.4805             nan     0.1000   -0.0016
   300        0.4711             nan     0.1000   -0.0012
   320        0.4614             nan     0.1000   -0.0009
   340        0.4506             nan     0.1000   -0.0014
   360        0.4394             nan     0.1000   -0.0015
   380        0.4288             nan     0.1000   -0.0015
   400        0.4181             nan     0.1000   -0.0015
   420        0.4102             nan     0.1000   -0.0008
   440        0.4004             nan     0.1000   -0.0016
   460        0.3918             nan     0.1000   -0.0009
   480        0.3862             nan     0.1000   -0.0011
   500        0.3796             nan     0.1000   -0.0018
   520        0.3735             nan     0.1000   -0.0012
   540        0.3666             nan     0.1000   -0.0014
   560        0.3595             nan     0.1000   -0.0008
   580        0.3524             nan     0.1000   -0.0009
   600        0.3484             nan     0.1000   -0.0008
   620        0.3438             nan     0.1000   -0.0005
   640        0.3387             nan     0.1000   -0.0006
   660        0.3349             nan     0.1000   -0.0010
   680        0.3318             nan     0.1000   -0.0009
   700        0.3257             nan     0.1000   -0.0009
   720        0.3192             nan     0.1000   -0.0008
   740        0.3134             nan     0.1000   -0.0014
   760        0.3090             nan     0.1000   -0.0005
   780        0.3032             nan     0.1000   -0.0002
   800        0.2989             nan     0.1000   -0.0012
   820        0.2949             nan     0.1000   -0.0005
   840        0.2895             nan     0.1000   -0.0012
   860        0.2857             nan     0.1000   -0.0009
   880        0.2810             nan     0.1000   -0.0005
   900        0.2772             nan     0.1000   -0.0010
   920        0.2726             nan     0.1000   -0.0005
   940        0.2691             nan     0.1000   -0.0006
   960        0.2654             nan     0.1000   -0.0010
   980        0.2624             nan     0.1000   -0.0004
  1000        0.2577             nan     0.1000   -0.0007
  1020        0.2538             nan     0.1000   -0.0007
  1040        0.2498             nan     0.1000   -0.0009
  1060        0.2465             nan     0.1000   -0.0014
  1080        0.2444             nan     0.1000   -0.0010
  1100        0.2409             nan     0.1000   -0.0013

- Fold09.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3266             nan     0.0100    0.0027
     2        1.3210             nan     0.0100    0.0027
     3        1.3155             nan     0.0100    0.0026
     4        1.3107             nan     0.0100    0.0025
     5        1.3058             nan     0.0100    0.0025
     6        1.3001             nan     0.0100    0.0026
     7        1.2952             nan     0.0100    0.0025
     8        1.2907             nan     0.0100    0.0025
     9        1.2858             nan     0.0100    0.0024
    10        1.2813             nan     0.0100    0.0023
    20        1.2388             nan     0.0100    0.0019
    40        1.1742             nan     0.0100    0.0013
    60        1.1278             nan     0.0100    0.0009
    80        1.0931             nan     0.0100    0.0007
   100        1.0646             nan     0.0100    0.0006
   120        1.0408             nan     0.0100    0.0005
   140        1.0211             nan     0.0100    0.0003
   160        1.0036             nan     0.0100    0.0003
   180        0.9890             nan     0.0100    0.0003
   200        0.9767             nan     0.0100    0.0001
   220        0.9655             nan     0.0100    0.0002
   240        0.9559             nan     0.0100    0.0002
   260        0.9475             nan     0.0100    0.0001
   280        0.9394             nan     0.0100    0.0002
   300        0.9316             nan     0.0100   -0.0000
   320        0.9249             nan     0.0100    0.0001
   340        0.9191             nan     0.0100    0.0001
   360        0.9131             nan     0.0100   -0.0000
   380        0.9074             nan     0.0100    0.0001
   400        0.9024             nan     0.0100    0.0000
   420        0.8979             nan     0.0100   -0.0000
   440        0.8936             nan     0.0100    0.0000
   460        0.8895             nan     0.0100    0.0000
   480        0.8855             nan     0.0100   -0.0000
   500        0.8816             nan     0.0100    0.0000
   520        0.8781             nan     0.0100    0.0000
   540        0.8749             nan     0.0100   -0.0000
   560        0.8715             nan     0.0100   -0.0000
   580        0.8683             nan     0.0100    0.0000
   600        0.8654             nan     0.0100    0.0000
   620        0.8626             nan     0.0100    0.0000
   640        0.8598             nan     0.0100    0.0000
   660        0.8572             nan     0.0100    0.0000
   680        0.8548             nan     0.0100    0.0000
   700        0.8522             nan     0.0100   -0.0000
   720        0.8496             nan     0.0100   -0.0000
   740        0.8473             nan     0.0100   -0.0000
   760        0.8452             nan     0.0100   -0.0000
   780        0.8432             nan     0.0100   -0.0000
   800        0.8414             nan     0.0100   -0.0001
   820        0.8394             nan     0.0100   -0.0001
   840        0.8375             nan     0.0100   -0.0000
   860        0.8359             nan     0.0100   -0.0000
   880        0.8340             nan     0.0100   -0.0000
   900        0.8322             nan     0.0100   -0.0001
   920        0.8302             nan     0.0100   -0.0001
   940        0.8285             nan     0.0100   -0.0001
   960        0.8271             nan     0.0100   -0.0001
   980        0.8259             nan     0.0100   -0.0000
  1000        0.8244             nan     0.0100   -0.0001
  1020        0.8231             nan     0.0100   -0.0000
  1040        0.8217             nan     0.0100   -0.0000
  1060        0.8204             nan     0.0100   -0.0000
  1080        0.8190             nan     0.0100   -0.0001
  1100        0.8179             nan     0.0100   -0.0000

- Fold10.Rep5: shrinkage=0.01, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3244             nan     0.0100    0.0035
     2        1.3169             nan     0.0100    0.0032
     3        1.3100             nan     0.0100    0.0031
     4        1.3032             nan     0.0100    0.0033
     5        1.2966             nan     0.0100    0.0032
     6        1.2903             nan     0.0100    0.0032
     7        1.2839             nan     0.0100    0.0032
     8        1.2782             nan     0.0100    0.0031
     9        1.2721             nan     0.0100    0.0029
    10        1.2664             nan     0.0100    0.0028
    20        1.2141             nan     0.0100    0.0023
    40        1.1307             nan     0.0100    0.0017
    60        1.0703             nan     0.0100    0.0012
    80        1.0249             nan     0.0100    0.0008
   100        0.9887             nan     0.0100    0.0007
   120        0.9621             nan     0.0100    0.0006
   140        0.9396             nan     0.0100    0.0004
   160        0.9222             nan     0.0100    0.0003
   180        0.9077             nan     0.0100    0.0003
   200        0.8960             nan     0.0100    0.0001
   220        0.8855             nan     0.0100   -0.0000
   240        0.8761             nan     0.0100    0.0001
   260        0.8669             nan     0.0100    0.0001
   280        0.8587             nan     0.0100   -0.0000
   300        0.8515             nan     0.0100    0.0000
   320        0.8453             nan     0.0100    0.0001
   340        0.8392             nan     0.0100   -0.0000
   360        0.8329             nan     0.0100    0.0000
   380        0.8271             nan     0.0100    0.0000
   400        0.8219             nan     0.0100   -0.0001
   420        0.8174             nan     0.0100   -0.0000
   440        0.8133             nan     0.0100    0.0000
   460        0.8094             nan     0.0100   -0.0000
   480        0.8054             nan     0.0100    0.0001
   500        0.8016             nan     0.0100   -0.0000
   520        0.7975             nan     0.0100   -0.0000
   540        0.7943             nan     0.0100   -0.0000
   560        0.7905             nan     0.0100    0.0001
   580        0.7877             nan     0.0100   -0.0001
   600        0.7844             nan     0.0100   -0.0001
   620        0.7813             nan     0.0100   -0.0001
   640        0.7781             nan     0.0100   -0.0000
   660        0.7753             nan     0.0100    0.0000
   680        0.7725             nan     0.0100   -0.0001
   700        0.7699             nan     0.0100   -0.0000
   720        0.7675             nan     0.0100    0.0000
   740        0.7650             nan     0.0100   -0.0000
   760        0.7622             nan     0.0100   -0.0000
   780        0.7592             nan     0.0100   -0.0001
   800        0.7574             nan     0.0100   -0.0001
   820        0.7549             nan     0.0100   -0.0000
   840        0.7526             nan     0.0100   -0.0001
   860        0.7504             nan     0.0100   -0.0001
   880        0.7482             nan     0.0100   -0.0000
   900        0.7461             nan     0.0100   -0.0001
   920        0.7436             nan     0.0100   -0.0001
   940        0.7419             nan     0.0100   -0.0002
   960        0.7398             nan     0.0100   -0.0002
   980        0.7379             nan     0.0100   -0.0001
  1000        0.7359             nan     0.0100   -0.0001
  1020        0.7336             nan     0.0100   -0.0000
  1040        0.7316             nan     0.0100   -0.0001
  1060        0.7294             nan     0.0100   -0.0001
  1080        0.7277             nan     0.0100   -0.0002
  1100        0.7261             nan     0.0100   -0.0002

- Fold10.Rep5: shrinkage=0.01, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.3243             nan     0.0100    0.0039
     2        1.3164             nan     0.0100    0.0039
     3        1.3093             nan     0.0100    0.0036
     4        1.3018             nan     0.0100    0.0033
     5        1.2943             nan     0.0100    0.0035
     6        1.2874             nan     0.0100    0.0034
     7        1.2799             nan     0.0100    0.0030
     8        1.2729             nan     0.0100    0.0033
     9        1.2663             nan     0.0100    0.0034
    10        1.2599             nan     0.0100    0.0033
    20        1.2014             nan     0.0100    0.0024
    40        1.1093             nan     0.0100    0.0018
    60        1.0414             nan     0.0100    0.0013
    80        0.9922             nan     0.0100    0.0010
   100        0.9532             nan     0.0100    0.0005
   120        0.9240             nan     0.0100    0.0006
   140        0.9018             nan     0.0100    0.0004
   160        0.8833             nan     0.0100    0.0003
   180        0.8679             nan     0.0100    0.0002
   200        0.8543             nan     0.0100    0.0001
   220        0.8426             nan     0.0100    0.0002
   240        0.8319             nan     0.0100    0.0000
   260        0.8230             nan     0.0100    0.0000
   280        0.8149             nan     0.0100   -0.0001
   300        0.8077             nan     0.0100   -0.0001
   320        0.8004             nan     0.0100    0.0000
   340        0.7942             nan     0.0100    0.0001
   360        0.7880             nan     0.0100   -0.0001
   380        0.7828             nan     0.0100   -0.0001
   400        0.7773             nan     0.0100   -0.0000
   420        0.7724             nan     0.0100   -0.0001
   440        0.7668             nan     0.0100   -0.0000
   460        0.7622             nan     0.0100   -0.0001
   480        0.7575             nan     0.0100   -0.0000
   500        0.7531             nan     0.0100   -0.0000
   520        0.7489             nan     0.0100   -0.0000
   540        0.7452             nan     0.0100   -0.0001
   560        0.7415             nan     0.0100   -0.0001
   580        0.7377             nan     0.0100   -0.0000
   600        0.7344             nan     0.0100   -0.0002
   620        0.7309             nan     0.0100   -0.0001
   640        0.7272             nan     0.0100    0.0000
   660        0.7244             nan     0.0100   -0.0002
   680        0.7209             nan     0.0100   -0.0001
   700        0.7180             nan     0.0100   -0.0000
   720        0.7152             nan     0.0100   -0.0001
   740        0.7120             nan     0.0100   -0.0001
   760        0.7088             nan     0.0100   -0.0001
   780        0.7061             nan     0.0100   -0.0001
   800        0.7031             nan     0.0100   -0.0002
   820        0.6998             nan     0.0100   -0.0002
   840        0.6974             nan     0.0100   -0.0002
   860        0.6947             nan     0.0100   -0.0001
   880        0.6917             nan     0.0100   -0.0002
   900        0.6888             nan     0.0100   -0.0001
   920        0.6865             nan     0.0100   -0.0002
   940        0.6841             nan     0.0100   -0.0000
   960        0.6811             nan     0.0100   -0.0001
   980        0.6785             nan     0.0100   -0.0001
  1000        0.6757             nan     0.0100   -0.0001
  1020        0.6730             nan     0.0100   -0.0000
  1040        0.6706             nan     0.0100   -0.0001
  1060        0.6678             nan     0.0100   -0.0001
  1080        0.6652             nan     0.0100   -0.0002
  1100        0.6629             nan     0.0100   -0.0001

- Fold10.Rep5: shrinkage=0.01, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2811             nan     0.1000    0.0263
     2        1.2358             nan     0.1000    0.0208
     3        1.2003             nan     0.1000    0.0167
     4        1.1715             nan     0.1000    0.0136
     5        1.1459             nan     0.1000    0.0130
     6        1.1271             nan     0.1000    0.0082
     7        1.1069             nan     0.1000    0.0082
     8        1.0900             nan     0.1000    0.0083
     9        1.0747             nan     0.1000    0.0060
    10        1.0600             nan     0.1000    0.0064
    20        0.9761             nan     0.1000    0.0020
    40        0.9020             nan     0.1000    0.0004
    60        0.8669             nan     0.1000   -0.0005
    80        0.8447             nan     0.1000   -0.0013
   100        0.8263             nan     0.1000   -0.0006
   120        0.8131             nan     0.1000   -0.0003
   140        0.8032             nan     0.1000   -0.0004
   160        0.7943             nan     0.1000   -0.0010
   180        0.7876             nan     0.1000   -0.0003
   200        0.7798             nan     0.1000   -0.0002
   220        0.7735             nan     0.1000   -0.0009
   240        0.7694             nan     0.1000   -0.0006
   260        0.7658             nan     0.1000   -0.0013
   280        0.7609             nan     0.1000   -0.0004
   300        0.7570             nan     0.1000   -0.0006
   320        0.7526             nan     0.1000   -0.0011
   340        0.7487             nan     0.1000   -0.0003
   360        0.7447             nan     0.1000   -0.0003
   380        0.7419             nan     0.1000   -0.0001
   400        0.7394             nan     0.1000   -0.0006
   420        0.7343             nan     0.1000   -0.0007
   440        0.7306             nan     0.1000   -0.0011
   460        0.7282             nan     0.1000   -0.0005
   480        0.7260             nan     0.1000   -0.0014
   500        0.7242             nan     0.1000   -0.0003
   520        0.7204             nan     0.1000   -0.0004
   540        0.7190             nan     0.1000   -0.0008
   560        0.7167             nan     0.1000   -0.0011
   580        0.7149             nan     0.1000   -0.0002
   600        0.7116             nan     0.1000   -0.0006
   620        0.7105             nan     0.1000   -0.0011
   640        0.7084             nan     0.1000   -0.0005
   660        0.7072             nan     0.1000   -0.0007
   680        0.7048             nan     0.1000   -0.0010
   700        0.7040             nan     0.1000   -0.0005
   720        0.7012             nan     0.1000   -0.0013
   740        0.6989             nan     0.1000   -0.0008
   760        0.6961             nan     0.1000   -0.0003
   780        0.6946             nan     0.1000   -0.0006
   800        0.6930             nan     0.1000   -0.0004
   820        0.6921             nan     0.1000   -0.0006
   840        0.6904             nan     0.1000   -0.0004
   860        0.6883             nan     0.1000   -0.0011
   880        0.6878             nan     0.1000   -0.0010
   900        0.6863             nan     0.1000   -0.0007
   920        0.6844             nan     0.1000   -0.0013
   940        0.6826             nan     0.1000   -0.0012
   960        0.6808             nan     0.1000   -0.0006
   980        0.6801             nan     0.1000   -0.0011
  1000        0.6797             nan     0.1000   -0.0004
  1020        0.6784             nan     0.1000   -0.0005
  1040        0.6777             nan     0.1000   -0.0011
  1060        0.6760             nan     0.1000   -0.0007
  1080        0.6740             nan     0.1000   -0.0003
  1100        0.6733             nan     0.1000   -0.0020

- Fold10.Rep5: shrinkage=0.10, interaction.depth=1, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2664             nan     0.1000    0.0321
     2        1.2099             nan     0.1000    0.0256
     3        1.1637             nan     0.1000    0.0211
     4        1.1230             nan     0.1000    0.0198
     5        1.0900             nan     0.1000    0.0157
     6        1.0608             nan     0.1000    0.0119
     7        1.0382             nan     0.1000    0.0110
     8        1.0174             nan     0.1000    0.0096
     9        0.9990             nan     0.1000    0.0088
    10        0.9820             nan     0.1000    0.0071
    20        0.8923             nan     0.1000   -0.0010
    40        0.8216             nan     0.1000   -0.0002
    60        0.7872             nan     0.1000   -0.0006
    80        0.7622             nan     0.1000   -0.0016
   100        0.7408             nan     0.1000   -0.0009
   120        0.7253             nan     0.1000   -0.0008
   140        0.7073             nan     0.1000   -0.0012
   160        0.6962             nan     0.1000   -0.0013
   180        0.6798             nan     0.1000   -0.0011
   200        0.6677             nan     0.1000    0.0003
   220        0.6585             nan     0.1000   -0.0019
   240        0.6472             nan     0.1000   -0.0008
   260        0.6372             nan     0.1000   -0.0010
   280        0.6266             nan     0.1000   -0.0011
   300        0.6151             nan     0.1000   -0.0008
   320        0.6067             nan     0.1000   -0.0007
   340        0.5981             nan     0.1000   -0.0007
   360        0.5889             nan     0.1000   -0.0006
   380        0.5833             nan     0.1000   -0.0009
   400        0.5765             nan     0.1000   -0.0008
   420        0.5685             nan     0.1000   -0.0011
   440        0.5626             nan     0.1000   -0.0009
   460        0.5554             nan     0.1000   -0.0003
   480        0.5502             nan     0.1000   -0.0009
   500        0.5447             nan     0.1000   -0.0010
   520        0.5377             nan     0.1000   -0.0011
   540        0.5306             nan     0.1000   -0.0015
   560        0.5244             nan     0.1000   -0.0005
   580        0.5219             nan     0.1000   -0.0018
   600        0.5176             nan     0.1000   -0.0008
   620        0.5140             nan     0.1000   -0.0008
   640        0.5081             nan     0.1000   -0.0005
   660        0.5042             nan     0.1000   -0.0002
   680        0.5001             nan     0.1000   -0.0005
   700        0.4931             nan     0.1000   -0.0005
   720        0.4898             nan     0.1000   -0.0016
   740        0.4856             nan     0.1000   -0.0009
   760        0.4811             nan     0.1000   -0.0009
   780        0.4778             nan     0.1000   -0.0010
   800        0.4736             nan     0.1000   -0.0001
   820        0.4701             nan     0.1000   -0.0006
   840        0.4665             nan     0.1000   -0.0004
   860        0.4639             nan     0.1000   -0.0014
   880        0.4596             nan     0.1000   -0.0010
   900        0.4557             nan     0.1000   -0.0008
   920        0.4509             nan     0.1000   -0.0010
   940        0.4478             nan     0.1000   -0.0006
   960        0.4425             nan     0.1000   -0.0008
   980        0.4395             nan     0.1000   -0.0015
  1000        0.4364             nan     0.1000   -0.0011
  1020        0.4345             nan     0.1000   -0.0010
  1040        0.4301             nan     0.1000   -0.0004
  1060        0.4268             nan     0.1000   -0.0007
  1080        0.4225             nan     0.1000   -0.0005
  1100        0.4188             nan     0.1000   -0.0009

- Fold10.Rep5: shrinkage=0.10, interaction.depth=2, n.minobsinnode=10, n.trees=1100 
+ Fold10.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2549             nan     0.1000    0.0340
     2        1.1983             nan     0.1000    0.0267
     3        1.1467             nan     0.1000    0.0215
     4        1.1076             nan     0.1000    0.0183
     5        1.0669             nan     0.1000    0.0165
     6        1.0356             nan     0.1000    0.0139
     7        1.0078             nan     0.1000    0.0133
     8        0.9895             nan     0.1000    0.0069
     9        0.9700             nan     0.1000    0.0086
    10        0.9533             nan     0.1000    0.0089
    20        0.8541             nan     0.1000    0.0008
    40        0.7811             nan     0.1000   -0.0014
    60        0.7419             nan     0.1000   -0.0017
    80        0.7099             nan     0.1000   -0.0013
   100        0.6791             nan     0.1000   -0.0009
   120        0.6589             nan     0.1000   -0.0016
   140        0.6338             nan     0.1000   -0.0011
   160        0.6159             nan     0.1000   -0.0017
   180        0.5971             nan     0.1000   -0.0004
   200        0.5818             nan     0.1000   -0.0013
   220        0.5670             nan     0.1000   -0.0006
   240        0.5538             nan     0.1000   -0.0010
   260        0.5379             nan     0.1000   -0.0004
   280        0.5277             nan     0.1000   -0.0012
   300        0.5145             nan     0.1000   -0.0010
   320        0.5071             nan     0.1000   -0.0013
   340        0.4940             nan     0.1000   -0.0004
   360        0.4829             nan     0.1000   -0.0008
   380        0.4716             nan     0.1000   -0.0011
   400        0.4640             nan     0.1000   -0.0010
   420        0.4566             nan     0.1000   -0.0010
   440        0.4518             nan     0.1000   -0.0006
   460        0.4457             nan     0.1000   -0.0005
   480        0.4380             nan     0.1000   -0.0007
   500        0.4309             nan     0.1000   -0.0014
   520        0.4247             nan     0.1000   -0.0014
   540        0.4184             nan     0.1000   -0.0016
   560        0.4134             nan     0.1000   -0.0016
   580        0.4080             nan     0.1000   -0.0013
   600        0.3991             nan     0.1000   -0.0017
   620        0.3945             nan     0.1000   -0.0001
   640        0.3878             nan     0.1000   -0.0020
   660        0.3822             nan     0.1000   -0.0009
   680        0.3763             nan     0.1000   -0.0009
   700        0.3728             nan     0.1000   -0.0009
   720        0.3666             nan     0.1000   -0.0004
   740        0.3622             nan     0.1000   -0.0014
   760        0.3561             nan     0.1000   -0.0010
   780        0.3503             nan     0.1000   -0.0013
   800        0.3445             nan     0.1000   -0.0013
   820        0.3404             nan     0.1000   -0.0008
   840        0.3369             nan     0.1000   -0.0011
   860        0.3333             nan     0.1000   -0.0005
   880        0.3298             nan     0.1000   -0.0009
   900        0.3271             nan     0.1000   -0.0008
   920        0.3230             nan     0.1000   -0.0011
   940        0.3196             nan     0.1000   -0.0007
   960        0.3148             nan     0.1000   -0.0011
   980        0.3111             nan     0.1000   -0.0008
  1000        0.3074             nan     0.1000   -0.0012
  1020        0.3025             nan     0.1000   -0.0010
  1040        0.2986             nan     0.1000   -0.0007
  1060        0.2953             nan     0.1000   -0.0010
  1080        0.2908             nan     0.1000   -0.0006
  1100        0.2875             nan     0.1000   -0.0006

- Fold10.Rep5: shrinkage=0.10, interaction.depth=3, n.minobsinnode=10, n.trees=1100 
Aggregating results
Selecting tuning parameters
Fitting n.trees = 500, interaction.depth = 2, shrinkage = 0.1, n.minobsinnode = 10 on full training set
Iter   TrainDeviance   ValidDeviance   StepSize   Improve
     1        1.2635             nan     0.1000    0.0356
     2        1.2002             nan     0.1000    0.0289
     3        1.1545             nan     0.1000    0.0242
     4        1.1142             nan     0.1000    0.0178
     5        1.0785             nan     0.1000    0.0166
     6        1.0514             nan     0.1000    0.0132
     7        1.0235             nan     0.1000    0.0116
     8        1.0022             nan     0.1000    0.0096
     9        0.9844             nan     0.1000    0.0077
    10        0.9653             nan     0.1000    0.0087
    20        0.8692             nan     0.1000    0.0027
    40        0.8006             nan     0.1000    0.0002
    60        0.7627             nan     0.1000   -0.0005
    80        0.7403             nan     0.1000   -0.0002
   100        0.7172             nan     0.1000    0.0001
   120        0.6996             nan     0.1000   -0.0010
   140        0.6836             nan     0.1000   -0.0007
   160        0.6712             nan     0.1000   -0.0012
   180        0.6596             nan     0.1000   -0.0013
   200        0.6447             nan     0.1000   -0.0014
   220        0.6364             nan     0.1000   -0.0013
   240        0.6258             nan     0.1000   -0.0012
   260        0.6169             nan     0.1000   -0.0010
   280        0.6078             nan     0.1000   -0.0006
   300        0.5981             nan     0.1000   -0.0012
   320        0.5896             nan     0.1000   -0.0006
   340        0.5827             nan     0.1000   -0.0016
   360        0.5758             nan     0.1000   -0.0007
   380        0.5676             nan     0.1000   -0.0015
   400        0.5608             nan     0.1000   -0.0012
   420        0.5563             nan     0.1000   -0.0011
   440        0.5507             nan     0.1000   -0.0008
   460        0.5433             nan     0.1000   -0.0008
   480        0.5369             nan     0.1000   -0.0008
   500        0.5316             nan     0.1000   -0.0007

save(boostFit,file = 'boostFit')
boostFit

Stochastic Gradient Boosting 

891 samples
 54 predictor
  2 classes: 'Survived', 'Dead' 

No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times) 
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ... 
Resampling results across tuning parameters:

  shrinkage  interaction.depth  n.trees  ROC        Sens       Spec     
  0.01       1                   500     0.8689366  0.7217815  0.8809091
  0.01       1                   700     0.8716218  0.7351597  0.8830976
  0.01       1                   900     0.8734233  0.7462857  0.8798182
  0.01       1                  1100     0.8740110  0.7579496  0.8787273
  0.01       2                   500     0.8771476  0.7386723  0.8819933
  0.01       2                   700     0.8789303  0.7544034  0.8827205
  0.01       2                   900     0.8793513  0.7561345  0.8805387
  0.01       2                  1100     0.8801369  0.7578655  0.8805387
  0.01       3                   500     0.8792604  0.7480000  0.8827273
  0.01       3                   700     0.8807626  0.7526723  0.8816364
  0.01       3                   900     0.8818241  0.7514622  0.8845589
  0.01       3                  1100     0.8820285  0.7514622  0.8856498
  0.10       1                   500     0.8709785  0.7474286  0.8740000
  0.10       1                   700     0.8711078  0.7445210  0.8743367
  0.10       1                   900     0.8695370  0.7398824  0.8739731
  0.10       1                  1100     0.8692388  0.7398824  0.8743232
  0.10       2                   500     0.8821622  0.7421345  0.8849226
  0.10       2                   700     0.8806252  0.7433445  0.8859798
  0.10       2                   900     0.8793410  0.7397983  0.8808620
  0.10       2                  1100     0.8771106  0.7409580  0.8768687
  0.10       3                   500     0.8811666  0.7449916  0.8830640
  0.10       3                   700     0.8808769  0.7438319  0.8743165
  0.10       3                   900     0.8784885  0.7450588  0.8662896
  0.10       3                  1100     0.8775440  0.7403866  0.8673805

Tuning parameter 'n.minobsinnode' was held constant at a value of 10
ROC was used to select the optimal model using  the largest value.
The final values used for the model were n.trees = 500, interaction.depth = 2, shrinkage
 = 0.1 and n.minobsinnode = 10.

plot(boostFit)

xyplot(oobag.improve~1:1100,data=boostFit$finalModel,alpha=.5,xlab = 'n.trees')

plot(varImp(boostFit))

densityplot(boostFit,pch='|')

predict(boostFit,type = 'prob') -> train.Probs
histogram(~Survived+Dead,train.Probs)

Random Forest (custom rf)

customRF <-
    list(type = "Classification",
    library = "randomForest",
    loop = NULL)
customRF$parameters <- data.frame(
    parameter = c("mtry", "ntree", 'nodesize', 'replace'),
    class = c("numeric", 'numeric', 'numeric', 'logical'),
    label = c("mtry", "ntree", 'nodesize', 'replace')
    )
customRF$grid <- function(x, y, len = NULL, search = "grid") {}
customRF$fit <-
    function(x,
    y,
    wts,
    param,
    lev,
    last,
    weights,
    classProbs,
    ...) {
    randomForest(
    x,
    y,
    mtry = param$mtry,
    ntree = param$ntree,
    replace = param$replace,
    # classwt = param$classwt,
    nodesize = param$nodesize
    )
    }
customRF$predict <-
    function(modelFit,
    newdata,
    preProc = NULL,
    submodels = NULL)
    predict(modelFit, newdata)
customRF$prob <-
    function(modelFit,
    newdata,
    preProc = NULL,
    submodels = NULL)
        predict(modelFit, newdata, type = "prob")
customRF$sort <- function(x)
    x[order(x[, 1]), ]
customRF$levels <- function(x)
    x$classes
customRF

$type
[1] "Classification"

$library
[1] "randomForest"

$loop
NULL

$parameters

$grid
function (x, y, len = NULL, search = "grid") 
{
}

$fit
function (x, y, wts, param, lev, last, weights, classProbs, ...) 
{
    randomForest(x, y, mtry = param$mtry, ntree = param$ntree, 
        replace = param$replace, nodesize = param$nodesize)
}

$predict
function (modelFit, newdata, preProc = NULL, submodels = NULL) 
predict(modelFit, newdata)

$prob
function (modelFit, newdata, preProc = NULL, submodels = NULL) 
predict(modelFit, newdata, type = "prob")

$sort
function (x) 
x[order(x[, 1]), ]

$levels
function (x) 
x$classes

    
  adapt_ctrl <- trainControl(method = "repeatedcv",
                     repeats = 5,
                     verboseIter = T,
                     classProbs = TRUE,
                     summaryFunction = twoClassSummary,
                     adaptive = list(min = 5, alpha = 0.05, 
                                             method = "gls", complete = TRUE),
                     search = 'random'
                     )  
ctrl <- trainControl(
    method = "repeatedcv",
    repeats = 5,
    verboseIter = T,
    classProbs = TRUE,
    summaryFunction = twoClassSummary,
    # sampling = 'smote'
)
crfGrid <- expand.grid(
    mtry = c(10, 15, 20, 29),
    ntree = c(100, 300, 500),
    nodesize = c(1, 5, 10),
    replace = c(T, F)
    # classwt = c(0.6, 0.8)
)
set.seed(1)
crfFit <- train(
    form = Survived ~ .,
    data = train.imp,
    method = customRF,
    trControl = adapt_ctrl,
    # metric = "Kappa",
    tuneGrid = crfGrid,
    verbose = TRUE,
    classwt = c(0.38, 0.61)
)

The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
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- Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
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- Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
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- Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
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- Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
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- Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
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- Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
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- Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
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- Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
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- Fold04.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
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- Fold04.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
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- Fold04.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
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- Fold04.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
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- Fold04.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
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- Fold06.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
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- Fold06.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
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- Fold06.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
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- Fold06.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
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- Fold06.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
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- Fold06.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
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- Fold07.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
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- Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
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- Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
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- Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
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- Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
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- Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
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- Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
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- Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
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- Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
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- Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
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- Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
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- Fold07.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
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+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
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- Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
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- Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
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- Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
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- Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
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- Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
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- Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
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- Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
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- Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
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- Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
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- Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
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- Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
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- Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
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- Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
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- Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
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- Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
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- Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
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- Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
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- Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
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- Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
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- Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
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- Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
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- Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
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- Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
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- Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
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- Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
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- Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
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- Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
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- Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
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- Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
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- Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
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- Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
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- Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
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- Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
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- Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
Aggregating results
Selecting tuning parameters
Fitting mtry = 15, ntree = 500, nodesize = 5, replace = TRUE on full training set

crfFit_class <- train(
    form = Survived ~ .,
    data = train.imp,
    method = customRF,
    trControl = adapt_ctrl,
    # metric = "Kappa",
    tuneGrid = crfGrid,
    verbose = TRUE,
    classwt = c(0.38, 0.61)
)

The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
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- Fold01.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
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- Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
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- Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
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- Fold02.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
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- Fold04.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
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- Fold04.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
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- Fold04.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
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- Fold04.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
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- Fold04.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
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- Fold04.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
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- Fold04.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
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- Fold05.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
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- Fold06.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
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- Fold06.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
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- Fold06.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
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- Fold06.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
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- Fold06.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
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- Fold06.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
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- Fold06.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
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- Fold06.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
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- Fold06.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
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- Fold06.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
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- Fold06.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
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- Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
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- Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
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- Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
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- Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
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- Fold07.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
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- Fold07.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
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- Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
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- Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep1: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep2: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep3: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep4: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold01.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold02.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold03.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold03.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold03.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
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- Fold03.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
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- Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
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- Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
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- Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
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- Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold04.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold05.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold06.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold07.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold08.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold09.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace= TRUE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 1, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize= 5, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=100, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=300, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=10, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=15, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=20, ntree=500, nodesize=10, replace=FALSE 
+ Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
- Fold10.Rep5: mtry=29, ntree=500, nodesize=10, replace=FALSE 
Aggregating results
Selecting tuning parameters
Fitting mtry = 15, ntree = 500, nodesize = 5, replace = TRUE on full training set

save(crfFit,'crfFit')

Error in save(crfFit, "crfFit") : 'file' must be specified

Conditional Forest (ctree)

ctrl <- trainControl(method = "repeatedcv",
                     repeats = 5,
                     verboseIter = T,
                     classProbs = TRUE,
                     summaryFunction = twoClassSummary
                     # sampling = 'smote'
                     )
cforestGrid <- expand.grid(mtry=c(10,20,30,40))
set.seed(1)
cforestFit <- train(
    form = Survived~.,
    data = train.imp,
    method = 'cforest',
    trControl = ctrl,
    tuneGrid = cforestGrid
    # verbose = TRUE
    # ntree = 400
)

The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Fold01.Rep1: mtry=10 
- Fold01.Rep1: mtry=10 
+ Fold01.Rep1: mtry=20 
- Fold01.Rep1: mtry=20 
+ Fold01.Rep1: mtry=30 
- Fold01.Rep1: mtry=30 
+ Fold01.Rep1: mtry=40 
- Fold01.Rep1: mtry=40 
+ Fold02.Rep1: mtry=10 
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+ Fold02.Rep1: mtry=20 
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+ Fold02.Rep1: mtry=30 
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+ Fold02.Rep1: mtry=40 
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+ Fold03.Rep1: mtry=10 
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+ Fold03.Rep1: mtry=20 
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+ Fold03.Rep1: mtry=30 
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+ Fold03.Rep1: mtry=40 
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+ Fold04.Rep1: mtry=10 
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+ Fold04.Rep1: mtry=20 
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+ Fold04.Rep1: mtry=30 
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+ Fold04.Rep1: mtry=40 
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+ Fold05.Rep1: mtry=10 
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+ Fold05.Rep1: mtry=20 
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+ Fold05.Rep1: mtry=30 
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+ Fold05.Rep1: mtry=40 
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+ Fold06.Rep1: mtry=10 
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+ Fold06.Rep1: mtry=20 
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+ Fold06.Rep1: mtry=30 
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+ Fold06.Rep1: mtry=40 
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+ Fold07.Rep1: mtry=10 
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+ Fold07.Rep1: mtry=20 
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+ Fold07.Rep1: mtry=30 
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+ Fold07.Rep1: mtry=40 
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+ Fold08.Rep1: mtry=10 
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+ Fold08.Rep1: mtry=20 
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+ Fold08.Rep1: mtry=30 
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+ Fold08.Rep1: mtry=40 
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+ Fold09.Rep1: mtry=10 
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+ Fold09.Rep1: mtry=20 
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+ Fold09.Rep1: mtry=30 
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+ Fold09.Rep1: mtry=40 
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+ Fold10.Rep1: mtry=10 
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+ Fold10.Rep1: mtry=20 
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+ Fold10.Rep1: mtry=30 
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+ Fold10.Rep1: mtry=40 
- Fold10.Rep1: mtry=40 
+ Fold01.Rep2: mtry=10 
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+ Fold01.Rep2: mtry=20 
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+ Fold01.Rep2: mtry=30 
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+ Fold01.Rep2: mtry=40 
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+ Fold02.Rep2: mtry=10 
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+ Fold02.Rep2: mtry=20 
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+ Fold02.Rep2: mtry=30 
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+ Fold02.Rep2: mtry=40 
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+ Fold03.Rep2: mtry=10 
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+ Fold03.Rep2: mtry=20 
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+ Fold03.Rep2: mtry=30 
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+ Fold03.Rep2: mtry=40 
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+ Fold04.Rep2: mtry=10 
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+ Fold04.Rep2: mtry=20 
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+ Fold04.Rep2: mtry=30 
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+ Fold04.Rep2: mtry=40 
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+ Fold05.Rep2: mtry=10 
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+ Fold05.Rep2: mtry=20 
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+ Fold10.Rep2: mtry=30 
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+ Fold01.Rep3: mtry=10 
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+ Fold01.Rep3: mtry=20 
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+ Fold01.Rep3: mtry=30 
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+ Fold03.Rep3: mtry=20 
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+ Fold04.Rep3: mtry=10 
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+ Fold04.Rep3: mtry=20 
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+ Fold04.Rep3: mtry=30 
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+ Fold05.Rep3: mtry=20 
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+ Fold05.Rep3: mtry=30 
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+ Fold06.Rep3: mtry=20 
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+ Fold08.Rep3: mtry=20 
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+ Fold09.Rep3: mtry=20 
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+ Fold10.Rep3: mtry=20 
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+ Fold10.Rep3: mtry=30 
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+ Fold10.Rep3: mtry=40 
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+ Fold01.Rep4: mtry=10 
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+ Fold01.Rep4: mtry=20 
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+ Fold03.Rep4: mtry=30 
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+ Fold04.Rep4: mtry=20 
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+ Fold05.Rep4: mtry=30 
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+ Fold05.Rep4: mtry=40 
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+ Fold08.Rep4: mtry=40 
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+ Fold10.Rep4: mtry=10 
- Fold10.Rep4: mtry=10 
+ Fold10.Rep4: mtry=20 
- Fold10.Rep4: mtry=20 
+ Fold10.Rep4: mtry=30 
- Fold10.Rep4: mtry=30 
+ Fold10.Rep4: mtry=40 
- Fold10.Rep4: mtry=40 
+ Fold01.Rep5: mtry=10 
- Fold01.Rep5: mtry=10 
+ Fold01.Rep5: mtry=20 
- Fold01.Rep5: mtry=20 
+ Fold01.Rep5: mtry=30 
- Fold01.Rep5: mtry=30 
+ Fold01.Rep5: mtry=40 
- Fold01.Rep5: mtry=40 
+ Fold02.Rep5: mtry=10 
- Fold02.Rep5: mtry=10 
+ Fold02.Rep5: mtry=20 
- Fold02.Rep5: mtry=20 
+ Fold02.Rep5: mtry=30 
- Fold02.Rep5: mtry=30 
+ Fold02.Rep5: mtry=40 
- Fold02.Rep5: mtry=40 
+ Fold03.Rep5: mtry=10 
- Fold03.Rep5: mtry=10 
+ Fold03.Rep5: mtry=20 
- Fold03.Rep5: mtry=20 
+ Fold03.Rep5: mtry=30 
- Fold03.Rep5: mtry=30 
+ Fold03.Rep5: mtry=40 
- Fold03.Rep5: mtry=40 
+ Fold04.Rep5: mtry=10 
- Fold04.Rep5: mtry=10 
+ Fold04.Rep5: mtry=20 
- Fold04.Rep5: mtry=20 
+ Fold04.Rep5: mtry=30 
- Fold04.Rep5: mtry=30 
+ Fold04.Rep5: mtry=40 
- Fold04.Rep5: mtry=40 
+ Fold05.Rep5: mtry=10 
- Fold05.Rep5: mtry=10 
+ Fold05.Rep5: mtry=20 
- Fold05.Rep5: mtry=20 
+ Fold05.Rep5: mtry=30 
- Fold05.Rep5: mtry=30 
+ Fold05.Rep5: mtry=40 
- Fold05.Rep5: mtry=40 
+ Fold06.Rep5: mtry=10 
- Fold06.Rep5: mtry=10 
+ Fold06.Rep5: mtry=20 
- Fold06.Rep5: mtry=20 
+ Fold06.Rep5: mtry=30 
- Fold06.Rep5: mtry=30 
+ Fold06.Rep5: mtry=40 
- Fold06.Rep5: mtry=40 
+ Fold07.Rep5: mtry=10 
- Fold07.Rep5: mtry=10 
+ Fold07.Rep5: mtry=20 
- Fold07.Rep5: mtry=20 
+ Fold07.Rep5: mtry=30 
- Fold07.Rep5: mtry=30 
+ Fold07.Rep5: mtry=40 
- Fold07.Rep5: mtry=40 
+ Fold08.Rep5: mtry=10 
- Fold08.Rep5: mtry=10 
+ Fold08.Rep5: mtry=20 
- Fold08.Rep5: mtry=20 
+ Fold08.Rep5: mtry=30 
- Fold08.Rep5: mtry=30 
+ Fold08.Rep5: mtry=40 
- Fold08.Rep5: mtry=40 
+ Fold09.Rep5: mtry=10 
- Fold09.Rep5: mtry=10 
+ Fold09.Rep5: mtry=20 
- Fold09.Rep5: mtry=20 
+ Fold09.Rep5: mtry=30 
- Fold09.Rep5: mtry=30 
+ Fold09.Rep5: mtry=40 
- Fold09.Rep5: mtry=40 
+ Fold10.Rep5: mtry=10 
- Fold10.Rep5: mtry=10 
+ Fold10.Rep5: mtry=20 
- Fold10.Rep5: mtry=20 
+ Fold10.Rep5: mtry=30 
- Fold10.Rep5: mtry=30 
+ Fold10.Rep5: mtry=40 
- Fold10.Rep5: mtry=40 
Aggregating results
Selecting tuning parameters
Fitting mtry = 40 on full training set

save(cforestFit,file = 'cforestFit')
cforestFit

Conditional Inference Random Forest 

891 samples
 28 predictor
  2 classes: 'Survived', 'Dead' 

No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times) 
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ... 
Resampling results across tuning parameters:

  mtry  ROC        Sens       Spec     
  10    0.8753441  0.7124538  0.8954680
  20    0.8788925  0.7123866  0.8994747
  30    0.8793607  0.7064706  0.9013131
  40    0.8809314  0.6983193  0.9042088

ROC was used to select the optimal model using  the largest value.
The final value used for the model was mtry = 40.

plot(cforestFit)

densityplot(cforestFit,pch='|')

predict(cforestFit,type = 'prob') -> train.crf.Probs
histogram(~Survived+Dead,train.crf.Probs)

Random Forest (rf)

adapt_ctrl <- trainControl(method = "repeatedcv",
                     repeats = 5,
                     verboseIter = T,
                     classProbs = TRUE,
                     summaryFunction = twoClassSummary,
                     adaptive = list(min = 5, alpha = 0.05, 
                                             method = "gls", complete = TRUE),
                     search = 'random'
                     )
rfGrid <- expand.grid(mtry=c(5,10,15,20,25))
set.seed(1)
rfFit.y <- train(
    form = Survived~.,
    data = train.imp,
    method = 'rf',
    trControl = adapt_ctrl,
    tuneGrid = rfGrid,
    verbose = TRUE,
    ntree = 400
)

The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Fold01.Rep1: mtry= 5 
- Fold01.Rep1: mtry= 5 
+ Fold01.Rep1: mtry=10 
- Fold01.Rep1: mtry=10 
+ Fold01.Rep1: mtry=15 
- Fold01.Rep1: mtry=15 
+ Fold01.Rep1: mtry=20 
- Fold01.Rep1: mtry=20 
+ Fold01.Rep1: mtry=25 
- Fold01.Rep1: mtry=25 
+ Fold02.Rep1: mtry= 5 
- Fold02.Rep1: mtry= 5 
+ Fold02.Rep1: mtry=10 
- Fold02.Rep1: mtry=10 
+ Fold02.Rep1: mtry=15 
- Fold02.Rep1: mtry=15 
+ Fold02.Rep1: mtry=20 
- Fold02.Rep1: mtry=20 
+ Fold02.Rep1: mtry=25 
- Fold02.Rep1: mtry=25 
+ Fold03.Rep1: mtry= 5 
- Fold03.Rep1: mtry= 5 
+ Fold03.Rep1: mtry=10 
- Fold03.Rep1: mtry=10 
+ Fold03.Rep1: mtry=15 
- Fold03.Rep1: mtry=15 
+ Fold03.Rep1: mtry=20 
- Fold03.Rep1: mtry=20 
+ Fold03.Rep1: mtry=25 
- Fold03.Rep1: mtry=25 
+ Fold04.Rep1: mtry= 5 
- Fold04.Rep1: mtry= 5 
+ Fold04.Rep1: mtry=10 
- Fold04.Rep1: mtry=10 
+ Fold04.Rep1: mtry=15 
- Fold04.Rep1: mtry=15 
+ Fold04.Rep1: mtry=20 
- Fold04.Rep1: mtry=20 
+ Fold04.Rep1: mtry=25 
- Fold04.Rep1: mtry=25 
+ Fold05.Rep1: mtry= 5 
- Fold05.Rep1: mtry= 5 
+ Fold05.Rep1: mtry=10 
- Fold05.Rep1: mtry=10 
+ Fold05.Rep1: mtry=15 
- Fold05.Rep1: mtry=15 
+ Fold05.Rep1: mtry=20 
- Fold05.Rep1: mtry=20 
+ Fold05.Rep1: mtry=25 
- Fold05.Rep1: mtry=25 
+ Fold06.Rep1: mtry= 5 
- Fold06.Rep1: mtry= 5 
+ Fold06.Rep1: mtry=10 
- Fold06.Rep1: mtry=10 
+ Fold06.Rep1: mtry=15 
- Fold06.Rep1: mtry=15 
+ Fold06.Rep1: mtry=20 
- Fold06.Rep1: mtry=20 
+ Fold06.Rep1: mtry=25 
- Fold06.Rep1: mtry=25 
+ Fold07.Rep1: mtry= 5 
- Fold07.Rep1: mtry= 5 
+ Fold07.Rep1: mtry=10 
- Fold07.Rep1: mtry=10 
+ Fold07.Rep1: mtry=15 
- Fold07.Rep1: mtry=15 
+ Fold07.Rep1: mtry=20 
- Fold07.Rep1: mtry=20 
+ Fold07.Rep1: mtry=25 
- Fold07.Rep1: mtry=25 
+ Fold08.Rep1: mtry= 5 
- Fold08.Rep1: mtry= 5 
+ Fold08.Rep1: mtry=10 
- Fold08.Rep1: mtry=10 
+ Fold08.Rep1: mtry=15 
- Fold08.Rep1: mtry=15 
+ Fold08.Rep1: mtry=20 
- Fold08.Rep1: mtry=20 
+ Fold08.Rep1: mtry=25 
- Fold08.Rep1: mtry=25 
+ Fold09.Rep1: mtry= 5 
- Fold09.Rep1: mtry= 5 
+ Fold09.Rep1: mtry=10 
- Fold09.Rep1: mtry=10 
+ Fold09.Rep1: mtry=15 
- Fold09.Rep1: mtry=15 
+ Fold09.Rep1: mtry=20 
- Fold09.Rep1: mtry=20 
+ Fold09.Rep1: mtry=25 
- Fold09.Rep1: mtry=25 
+ Fold10.Rep1: mtry= 5 
- Fold10.Rep1: mtry= 5 
+ Fold10.Rep1: mtry=10 
- Fold10.Rep1: mtry=10 
+ Fold10.Rep1: mtry=15 
- Fold10.Rep1: mtry=15 
+ Fold10.Rep1: mtry=20 
- Fold10.Rep1: mtry=20 
+ Fold10.Rep1: mtry=25 
- Fold10.Rep1: mtry=25 
+ Fold01.Rep2: mtry= 5 
- Fold01.Rep2: mtry= 5 
+ Fold01.Rep2: mtry=10 
- Fold01.Rep2: mtry=10 
+ Fold01.Rep2: mtry=15 
- Fold01.Rep2: mtry=15 
+ Fold01.Rep2: mtry=20 
- Fold01.Rep2: mtry=20 
+ Fold01.Rep2: mtry=25 
- Fold01.Rep2: mtry=25 
+ Fold02.Rep2: mtry= 5 
- Fold02.Rep2: mtry= 5 
+ Fold02.Rep2: mtry=10 
- Fold02.Rep2: mtry=10 
+ Fold02.Rep2: mtry=15 
- Fold02.Rep2: mtry=15 
+ Fold02.Rep2: mtry=20 
- Fold02.Rep2: mtry=20 
+ Fold02.Rep2: mtry=25 
- Fold02.Rep2: mtry=25 
+ Fold03.Rep2: mtry= 5 
- Fold03.Rep2: mtry= 5 
+ Fold03.Rep2: mtry=10 
- Fold03.Rep2: mtry=10 
+ Fold03.Rep2: mtry=15 
- Fold03.Rep2: mtry=15 
+ Fold03.Rep2: mtry=20 
- Fold03.Rep2: mtry=20 
+ Fold03.Rep2: mtry=25 
- Fold03.Rep2: mtry=25 
+ Fold04.Rep2: mtry= 5 
- Fold04.Rep2: mtry= 5 
+ Fold04.Rep2: mtry=10 
- Fold04.Rep2: mtry=10 
+ Fold04.Rep2: mtry=15 
- Fold04.Rep2: mtry=15 
+ Fold04.Rep2: mtry=20 
- Fold04.Rep2: mtry=20 
+ Fold04.Rep2: mtry=25 
- Fold04.Rep2: mtry=25 
+ Fold05.Rep2: mtry= 5 
- Fold05.Rep2: mtry= 5 
+ Fold05.Rep2: mtry=10 
- Fold05.Rep2: mtry=10 
+ Fold05.Rep2: mtry=15 
- Fold05.Rep2: mtry=15 
+ Fold05.Rep2: mtry=20 
- Fold05.Rep2: mtry=20 
+ Fold05.Rep2: mtry=25 
- Fold05.Rep2: mtry=25 
+ Fold06.Rep2: mtry= 5 
- Fold06.Rep2: mtry= 5 
+ Fold06.Rep2: mtry=10 
- Fold06.Rep2: mtry=10 
+ Fold06.Rep2: mtry=15 
- Fold06.Rep2: mtry=15 
+ Fold06.Rep2: mtry=20 
- Fold06.Rep2: mtry=20 
+ Fold06.Rep2: mtry=25 
- Fold06.Rep2: mtry=25 
+ Fold07.Rep2: mtry= 5 
- Fold07.Rep2: mtry= 5 
+ Fold07.Rep2: mtry=10 
- Fold07.Rep2: mtry=10 
+ Fold07.Rep2: mtry=15 
- Fold07.Rep2: mtry=15 
+ Fold07.Rep2: mtry=20 
- Fold07.Rep2: mtry=20 
+ Fold07.Rep2: mtry=25 
- Fold07.Rep2: mtry=25 
+ Fold08.Rep2: mtry= 5 
- Fold08.Rep2: mtry= 5 
+ Fold08.Rep2: mtry=10 
- Fold08.Rep2: mtry=10 
+ Fold08.Rep2: mtry=15 
- Fold08.Rep2: mtry=15 
+ Fold08.Rep2: mtry=20 
- Fold08.Rep2: mtry=20 
+ Fold08.Rep2: mtry=25 
- Fold08.Rep2: mtry=25 
+ Fold09.Rep2: mtry= 5 
- Fold09.Rep2: mtry= 5 
+ Fold09.Rep2: mtry=10 
- Fold09.Rep2: mtry=10 
+ Fold09.Rep2: mtry=15 
- Fold09.Rep2: mtry=15 
+ Fold09.Rep2: mtry=20 
- Fold09.Rep2: mtry=20 
+ Fold09.Rep2: mtry=25 
- Fold09.Rep2: mtry=25 
+ Fold10.Rep2: mtry= 5 
- Fold10.Rep2: mtry= 5 
+ Fold10.Rep2: mtry=10 
- Fold10.Rep2: mtry=10 
+ Fold10.Rep2: mtry=15 
- Fold10.Rep2: mtry=15 
+ Fold10.Rep2: mtry=20 
- Fold10.Rep2: mtry=20 
+ Fold10.Rep2: mtry=25 
- Fold10.Rep2: mtry=25 
+ Fold01.Rep3: mtry= 5 
- Fold01.Rep3: mtry= 5 
+ Fold01.Rep3: mtry=10 
- Fold01.Rep3: mtry=10 
+ Fold01.Rep3: mtry=15 
- Fold01.Rep3: mtry=15 
+ Fold01.Rep3: mtry=20 
- Fold01.Rep3: mtry=20 
+ Fold01.Rep3: mtry=25 
- Fold01.Rep3: mtry=25 
+ Fold02.Rep3: mtry= 5 
- Fold02.Rep3: mtry= 5 
+ Fold02.Rep3: mtry=10 
- Fold02.Rep3: mtry=10 
+ Fold02.Rep3: mtry=15 
- Fold02.Rep3: mtry=15 
+ Fold02.Rep3: mtry=20 
- Fold02.Rep3: mtry=20 
+ Fold02.Rep3: mtry=25 
- Fold02.Rep3: mtry=25 
+ Fold03.Rep3: mtry= 5 
- Fold03.Rep3: mtry= 5 
+ Fold03.Rep3: mtry=10 
- Fold03.Rep3: mtry=10 
+ Fold03.Rep3: mtry=15 
- Fold03.Rep3: mtry=15 
+ Fold03.Rep3: mtry=20 
- Fold03.Rep3: mtry=20 
+ Fold03.Rep3: mtry=25 
- Fold03.Rep3: mtry=25 
+ Fold04.Rep3: mtry= 5 
- Fold04.Rep3: mtry= 5 
+ Fold04.Rep3: mtry=10 
- Fold04.Rep3: mtry=10 
+ Fold04.Rep3: mtry=15 
- Fold04.Rep3: mtry=15 
+ Fold04.Rep3: mtry=20 
- Fold04.Rep3: mtry=20 
+ Fold04.Rep3: mtry=25 
- Fold04.Rep3: mtry=25 
+ Fold05.Rep3: mtry= 5 
- Fold05.Rep3: mtry= 5 
+ Fold05.Rep3: mtry=10 
- Fold05.Rep3: mtry=10 
+ Fold05.Rep3: mtry=15 
- Fold05.Rep3: mtry=15 
+ Fold05.Rep3: mtry=20 
- Fold05.Rep3: mtry=20 
+ Fold05.Rep3: mtry=25 
- Fold05.Rep3: mtry=25 
+ Fold06.Rep3: mtry= 5 
- Fold06.Rep3: mtry= 5 
+ Fold06.Rep3: mtry=10 
- Fold06.Rep3: mtry=10 
+ Fold06.Rep3: mtry=15 
- Fold06.Rep3: mtry=15 
+ Fold06.Rep3: mtry=20 
- Fold06.Rep3: mtry=20 
+ Fold06.Rep3: mtry=25 
- Fold06.Rep3: mtry=25 
+ Fold07.Rep3: mtry= 5 
- Fold07.Rep3: mtry= 5 
+ Fold07.Rep3: mtry=10 
- Fold07.Rep3: mtry=10 
+ Fold07.Rep3: mtry=15 
- Fold07.Rep3: mtry=15 
+ Fold07.Rep3: mtry=20 
- Fold07.Rep3: mtry=20 
+ Fold07.Rep3: mtry=25 
- Fold07.Rep3: mtry=25 
+ Fold08.Rep3: mtry= 5 
- Fold08.Rep3: mtry= 5 
+ Fold08.Rep3: mtry=10 
- Fold08.Rep3: mtry=10 
+ Fold08.Rep3: mtry=15 
- Fold08.Rep3: mtry=15 
+ Fold08.Rep3: mtry=20 
- Fold08.Rep3: mtry=20 
+ Fold08.Rep3: mtry=25 
- Fold08.Rep3: mtry=25 
+ Fold09.Rep3: mtry= 5 
- Fold09.Rep3: mtry= 5 
+ Fold09.Rep3: mtry=10 
- Fold09.Rep3: mtry=10 
+ Fold09.Rep3: mtry=15 
- Fold09.Rep3: mtry=15 
+ Fold09.Rep3: mtry=20 
- Fold09.Rep3: mtry=20 
+ Fold09.Rep3: mtry=25 
- Fold09.Rep3: mtry=25 
+ Fold10.Rep3: mtry= 5 
- Fold10.Rep3: mtry= 5 
+ Fold10.Rep3: mtry=10 
- Fold10.Rep3: mtry=10 
+ Fold10.Rep3: mtry=15 
- Fold10.Rep3: mtry=15 
+ Fold10.Rep3: mtry=20 
- Fold10.Rep3: mtry=20 
+ Fold10.Rep3: mtry=25 
- Fold10.Rep3: mtry=25 
+ Fold01.Rep4: mtry= 5 
- Fold01.Rep4: mtry= 5 
+ Fold01.Rep4: mtry=10 
- Fold01.Rep4: mtry=10 
+ Fold01.Rep4: mtry=15 
- Fold01.Rep4: mtry=15 
+ Fold01.Rep4: mtry=20 
- Fold01.Rep4: mtry=20 
+ Fold01.Rep4: mtry=25 
- Fold01.Rep4: mtry=25 
+ Fold02.Rep4: mtry= 5 
- Fold02.Rep4: mtry= 5 
+ Fold02.Rep4: mtry=10 
- Fold02.Rep4: mtry=10 
+ Fold02.Rep4: mtry=15 
- Fold02.Rep4: mtry=15 
+ Fold02.Rep4: mtry=20 
- Fold02.Rep4: mtry=20 
+ Fold02.Rep4: mtry=25 
- Fold02.Rep4: mtry=25 
+ Fold03.Rep4: mtry= 5 
- Fold03.Rep4: mtry= 5 
+ Fold03.Rep4: mtry=10 
- Fold03.Rep4: mtry=10 
+ Fold03.Rep4: mtry=15 
- Fold03.Rep4: mtry=15 
+ Fold03.Rep4: mtry=20 
- Fold03.Rep4: mtry=20 
+ Fold03.Rep4: mtry=25 
- Fold03.Rep4: mtry=25 
+ Fold04.Rep4: mtry= 5 
- Fold04.Rep4: mtry= 5 
+ Fold04.Rep4: mtry=10 
- Fold04.Rep4: mtry=10 
+ Fold04.Rep4: mtry=15 
- Fold04.Rep4: mtry=15 
+ Fold04.Rep4: mtry=20 
- Fold04.Rep4: mtry=20 
+ Fold04.Rep4: mtry=25 
- Fold04.Rep4: mtry=25 
+ Fold05.Rep4: mtry= 5 
- Fold05.Rep4: mtry= 5 
+ Fold05.Rep4: mtry=10 
- Fold05.Rep4: mtry=10 
+ Fold05.Rep4: mtry=15 
- Fold05.Rep4: mtry=15 
+ Fold05.Rep4: mtry=20 
- Fold05.Rep4: mtry=20 
+ Fold05.Rep4: mtry=25 
- Fold05.Rep4: mtry=25 
+ Fold06.Rep4: mtry= 5 
- Fold06.Rep4: mtry= 5 
+ Fold06.Rep4: mtry=10 
- Fold06.Rep4: mtry=10 
+ Fold06.Rep4: mtry=15 
- Fold06.Rep4: mtry=15 
+ Fold06.Rep4: mtry=20 
- Fold06.Rep4: mtry=20 
+ Fold06.Rep4: mtry=25 
- Fold06.Rep4: mtry=25 
+ Fold07.Rep4: mtry= 5 
- Fold07.Rep4: mtry= 5 
+ Fold07.Rep4: mtry=10 
- Fold07.Rep4: mtry=10 
+ Fold07.Rep4: mtry=15 
- Fold07.Rep4: mtry=15 
+ Fold07.Rep4: mtry=20 
- Fold07.Rep4: mtry=20 
+ Fold07.Rep4: mtry=25 
- Fold07.Rep4: mtry=25 
+ Fold08.Rep4: mtry= 5 
- Fold08.Rep4: mtry= 5 
+ Fold08.Rep4: mtry=10 
- Fold08.Rep4: mtry=10 
+ Fold08.Rep4: mtry=15 
- Fold08.Rep4: mtry=15 
+ Fold08.Rep4: mtry=20 
- Fold08.Rep4: mtry=20 
+ Fold08.Rep4: mtry=25 
- Fold08.Rep4: mtry=25 
+ Fold09.Rep4: mtry= 5 
- Fold09.Rep4: mtry= 5 
+ Fold09.Rep4: mtry=10 
- Fold09.Rep4: mtry=10 
+ Fold09.Rep4: mtry=15 
- Fold09.Rep4: mtry=15 
+ Fold09.Rep4: mtry=20 
- Fold09.Rep4: mtry=20 
+ Fold09.Rep4: mtry=25 
- Fold09.Rep4: mtry=25 
+ Fold10.Rep4: mtry= 5 
- Fold10.Rep4: mtry= 5 
+ Fold10.Rep4: mtry=10 
- Fold10.Rep4: mtry=10 
+ Fold10.Rep4: mtry=15 
- Fold10.Rep4: mtry=15 
+ Fold10.Rep4: mtry=20 
- Fold10.Rep4: mtry=20 
+ Fold10.Rep4: mtry=25 
- Fold10.Rep4: mtry=25 
+ Fold01.Rep5: mtry= 5 
- Fold01.Rep5: mtry= 5 
+ Fold01.Rep5: mtry=10 
- Fold01.Rep5: mtry=10 
+ Fold01.Rep5: mtry=15 
- Fold01.Rep5: mtry=15 
+ Fold01.Rep5: mtry=20 
- Fold01.Rep5: mtry=20 
+ Fold01.Rep5: mtry=25 
- Fold01.Rep5: mtry=25 
+ Fold02.Rep5: mtry= 5 
- Fold02.Rep5: mtry= 5 
+ Fold02.Rep5: mtry=10 
- Fold02.Rep5: mtry=10 
+ Fold02.Rep5: mtry=15 
- Fold02.Rep5: mtry=15 
+ Fold02.Rep5: mtry=20 
- Fold02.Rep5: mtry=20 
+ Fold02.Rep5: mtry=25 
- Fold02.Rep5: mtry=25 
+ Fold03.Rep5: mtry= 5 
- Fold03.Rep5: mtry= 5 
+ Fold03.Rep5: mtry=10 
- Fold03.Rep5: mtry=10 
+ Fold03.Rep5: mtry=15 
- Fold03.Rep5: mtry=15 
+ Fold03.Rep5: mtry=20 
- Fold03.Rep5: mtry=20 
+ Fold03.Rep5: mtry=25 
- Fold03.Rep5: mtry=25 
+ Fold04.Rep5: mtry= 5 
- Fold04.Rep5: mtry= 5 
+ Fold04.Rep5: mtry=10 
- Fold04.Rep5: mtry=10 
+ Fold04.Rep5: mtry=15 
- Fold04.Rep5: mtry=15 
+ Fold04.Rep5: mtry=20 
- Fold04.Rep5: mtry=20 
+ Fold04.Rep5: mtry=25 
- Fold04.Rep5: mtry=25 
+ Fold05.Rep5: mtry= 5 
- Fold05.Rep5: mtry= 5 
+ Fold05.Rep5: mtry=10 
- Fold05.Rep5: mtry=10 
+ Fold05.Rep5: mtry=15 
- Fold05.Rep5: mtry=15 
+ Fold05.Rep5: mtry=20 
- Fold05.Rep5: mtry=20 
+ Fold05.Rep5: mtry=25 
- Fold05.Rep5: mtry=25 
+ Fold06.Rep5: mtry= 5 
- Fold06.Rep5: mtry= 5 
+ Fold06.Rep5: mtry=10 
- Fold06.Rep5: mtry=10 
+ Fold06.Rep5: mtry=15 
- Fold06.Rep5: mtry=15 
+ Fold06.Rep5: mtry=20 
- Fold06.Rep5: mtry=20 
+ Fold06.Rep5: mtry=25 
- Fold06.Rep5: mtry=25 
+ Fold07.Rep5: mtry= 5 
- Fold07.Rep5: mtry= 5 
+ Fold07.Rep5: mtry=10 
- Fold07.Rep5: mtry=10 
+ Fold07.Rep5: mtry=15 
- Fold07.Rep5: mtry=15 
+ Fold07.Rep5: mtry=20 
- Fold07.Rep5: mtry=20 
+ Fold07.Rep5: mtry=25 
- Fold07.Rep5: mtry=25 
+ Fold08.Rep5: mtry= 5 
- Fold08.Rep5: mtry= 5 
+ Fold08.Rep5: mtry=10 
- Fold08.Rep5: mtry=10 
+ Fold08.Rep5: mtry=15 
- Fold08.Rep5: mtry=15 
+ Fold08.Rep5: mtry=20 
- Fold08.Rep5: mtry=20 
+ Fold08.Rep5: mtry=25 
- Fold08.Rep5: mtry=25 
+ Fold09.Rep5: mtry= 5 
- Fold09.Rep5: mtry= 5 
+ Fold09.Rep5: mtry=10 
- Fold09.Rep5: mtry=10 
+ Fold09.Rep5: mtry=15 
- Fold09.Rep5: mtry=15 
+ Fold09.Rep5: mtry=20 
- Fold09.Rep5: mtry=20 
+ Fold09.Rep5: mtry=25 
- Fold09.Rep5: mtry=25 
+ Fold10.Rep5: mtry= 5 
- Fold10.Rep5: mtry= 5 
+ Fold10.Rep5: mtry=10 
- Fold10.Rep5: mtry=10 
+ Fold10.Rep5: mtry=15 
- Fold10.Rep5: mtry=15 
+ Fold10.Rep5: mtry=20 
- Fold10.Rep5: mtry=20 
+ Fold10.Rep5: mtry=25 
- Fold10.Rep5: mtry=25 
Aggregating results
Selecting tuning parameters
Fitting mtry = 15 on full training set

save(rfFit.y,file = 'rfFit.y')
rfFit.y

Random Forest 

891 samples
 28 predictor
  2 classes: 'Survived', 'Dead' 

No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times) 
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ... 
Resampling results across tuning parameters:

  mtry  ROC        Sens       Spec     
   5    0.8854743  0.7139664  0.8965791
  10    0.8889779  0.7321513  0.8932862
  15    0.8890252  0.7409580  0.8896364
  20    0.8881383  0.7433277  0.8841684
  25    0.8873726  0.7415294  0.8845320

ROC was used to select the optimal model using  the largest value.
The final value used for the model was mtry = 15.

plot(rfFit.y)

plot(rfFit.y$finalModel)

densityplot(rfFit.y,pch='|')

predict(rfFit.y,type = 'prob') -> train.rf.Probs
histogram(~Survived+Dead,train.rf.Probs)

Random Forest (rf) - SMOTE

rfsmoteFit.y

Random Forest 

891 samples
 28 predictor
  2 classes: 'Survived', 'Dead' 

No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times) 
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ... 
Addtional sampling using SMOTE

Resampling results across tuning parameters:

  mtry  ROC        Sens       Spec     
   5    0.8806244  0.6333782  0.9380875
  10    0.8832278  0.6883361  0.9144444
  15    0.8858064  0.6966050  0.9053064
  20    0.8838532  0.7123193  0.8994815
  25    0.8799713  0.7153109  0.8907205

ROC was used to select the optimal model using  the largest value.
The final value used for the model was mtry = 15.

plot(rfsmoteFit.y)

plot(rfsmoteFit.y$finalModel)

densityplot(rfsmoteFit.y,pch='|')

predict(rfsmoteFit.y,type = 'prob') -> train.rfsmoteFit.Probs
histogram(~Survived+Dead,train.rfsmoteFit.Probs)

Elastinet

ctrl <- trainControl(method = "repeatedcv",
                     repeats = 5,
                     verboseIter = T,
                     classProbs = TRUE,
                     summaryFunction = twoClassSummary,
                     sampling = 'smote'
                     )
glmnetGrid <- expand.grid(.alpha = c(0,.1,.2,.4,.6,.8,1),
                          .lambda = seq(0.01,0.2,length.out = 40))
set.seed(1)
dumV <- dummyVars(formula = Survived~.,data = train.imp)
Dtrain <- predict(dumV,train.imp)

variable 'Survived' is not a factor

glmnetFit <- train(
    x = Dtrain,
    y = train.imp$Survived,
    trControl=ctrl,
    method='glmnet',
    tuneGrid=glmnetGrid
)

Loading required package: glmnet
Loading required package: Matrix
package ‘Matrix’ was built under R version 3.4.1
Attaching package: ‘Matrix’

The following object is masked from ‘package:tidyr’:

    expand

Loading required package: foreach
foreach: simple, scalable parallel programming from Revolution Analytics
Use Revolution R for scalability, fault tolerance and more.
http://www.revolutionanalytics.com

Attaching package: ‘foreach’

The following objects are masked from ‘package:purrr’:

    accumulate, when

Loaded glmnet 2.0-10

The metric "Accuracy" was not in the result set. ROC will be used instead.

+ Fold01.Rep1: alpha=0.0, lambda=0.2 
- Fold01.Rep1: alpha=0.0, lambda=0.2 
+ Fold01.Rep1: alpha=0.1, lambda=0.2 
- Fold01.Rep1: alpha=0.1, lambda=0.2 
+ Fold01.Rep1: alpha=0.2, lambda=0.2 
- Fold01.Rep1: alpha=0.2, lambda=0.2 
+ Fold01.Rep1: alpha=0.4, lambda=0.2 
- Fold01.Rep1: alpha=0.4, lambda=0.2 
+ Fold01.Rep1: alpha=0.6, lambda=0.2 
- Fold01.Rep1: alpha=0.6, lambda=0.2 
+ Fold01.Rep1: alpha=0.8, lambda=0.2 
- Fold01.Rep1: alpha=0.8, lambda=0.2 
+ Fold01.Rep1: alpha=1.0, lambda=0.2 
- Fold01.Rep1: alpha=1.0, lambda=0.2 
+ Fold02.Rep1: alpha=0.0, lambda=0.2 
- Fold02.Rep1: alpha=0.0, lambda=0.2 
+ Fold02.Rep1: alpha=0.1, lambda=0.2 
- Fold02.Rep1: alpha=0.1, lambda=0.2 
+ Fold02.Rep1: alpha=0.2, lambda=0.2 
- Fold02.Rep1: alpha=0.2, lambda=0.2 
+ Fold02.Rep1: alpha=0.4, lambda=0.2 
- Fold02.Rep1: alpha=0.4, lambda=0.2 
+ Fold02.Rep1: alpha=0.6, lambda=0.2 
- Fold02.Rep1: alpha=0.6, lambda=0.2 
+ Fold02.Rep1: alpha=0.8, lambda=0.2 
- Fold02.Rep1: alpha=0.8, lambda=0.2 
+ Fold02.Rep1: alpha=1.0, lambda=0.2 
- Fold02.Rep1: alpha=1.0, lambda=0.2 
+ Fold03.Rep1: alpha=0.0, lambda=0.2 
- Fold03.Rep1: alpha=0.0, lambda=0.2 
+ Fold03.Rep1: alpha=0.1, lambda=0.2 
- Fold03.Rep1: alpha=0.1, lambda=0.2 
+ Fold03.Rep1: alpha=0.2, lambda=0.2 
- Fold03.Rep1: alpha=0.2, lambda=0.2 
+ Fold03.Rep1: alpha=0.4, lambda=0.2 
- Fold03.Rep1: alpha=0.4, lambda=0.2 
+ Fold03.Rep1: alpha=0.6, lambda=0.2 
- Fold03.Rep1: alpha=0.6, lambda=0.2 
+ Fold03.Rep1: alpha=0.8, lambda=0.2 
- Fold03.Rep1: alpha=0.8, lambda=0.2 
+ Fold03.Rep1: alpha=1.0, lambda=0.2 
- Fold03.Rep1: alpha=1.0, lambda=0.2 
+ Fold04.Rep1: alpha=0.0, lambda=0.2 
- Fold04.Rep1: alpha=0.0, lambda=0.2 
+ Fold04.Rep1: alpha=0.1, lambda=0.2 
- Fold04.Rep1: alpha=0.1, lambda=0.2 
+ Fold04.Rep1: alpha=0.2, lambda=0.2 
- Fold04.Rep1: alpha=0.2, lambda=0.2 
+ Fold04.Rep1: alpha=0.4, lambda=0.2 
- Fold04.Rep1: alpha=0.4, lambda=0.2 
+ Fold04.Rep1: alpha=0.6, lambda=0.2 
- Fold04.Rep1: alpha=0.6, lambda=0.2 
+ Fold04.Rep1: alpha=0.8, lambda=0.2 
- Fold04.Rep1: alpha=0.8, lambda=0.2 
+ Fold04.Rep1: alpha=1.0, lambda=0.2 
- Fold04.Rep1: alpha=1.0, lambda=0.2 
+ Fold05.Rep1: alpha=0.0, lambda=0.2 
- Fold05.Rep1: alpha=0.0, lambda=0.2 
+ Fold05.Rep1: alpha=0.1, lambda=0.2 
- Fold05.Rep1: alpha=0.1, lambda=0.2 
+ Fold05.Rep1: alpha=0.2, lambda=0.2 
- Fold05.Rep1: alpha=0.2, lambda=0.2 
+ Fold05.Rep1: alpha=0.4, lambda=0.2 
- Fold05.Rep1: alpha=0.4, lambda=0.2 
+ Fold05.Rep1: alpha=0.6, lambda=0.2 
- Fold05.Rep1: alpha=0.6, lambda=0.2 
+ Fold05.Rep1: alpha=0.8, lambda=0.2 
- Fold05.Rep1: alpha=0.8, lambda=0.2 
+ Fold05.Rep1: alpha=1.0, lambda=0.2 
- Fold05.Rep1: alpha=1.0, lambda=0.2 
+ Fold06.Rep1: alpha=0.0, lambda=0.2 
- Fold06.Rep1: alpha=0.0, lambda=0.2 
+ Fold06.Rep1: alpha=0.1, lambda=0.2 
- Fold06.Rep1: alpha=0.1, lambda=0.2 
+ Fold06.Rep1: alpha=0.2, lambda=0.2 
- Fold06.Rep1: alpha=0.2, lambda=0.2 
+ Fold06.Rep1: alpha=0.4, lambda=0.2 
- Fold06.Rep1: alpha=0.4, lambda=0.2 
+ Fold06.Rep1: alpha=0.6, lambda=0.2 
- Fold06.Rep1: alpha=0.6, lambda=0.2 
+ Fold06.Rep1: alpha=0.8, lambda=0.2 
- Fold06.Rep1: alpha=0.8, lambda=0.2 
+ Fold06.Rep1: alpha=1.0, lambda=0.2 
- Fold06.Rep1: alpha=1.0, lambda=0.2 
+ Fold07.Rep1: alpha=0.0, lambda=0.2 
- Fold07.Rep1: alpha=0.0, lambda=0.2 
+ Fold07.Rep1: alpha=0.1, lambda=0.2 
- Fold07.Rep1: alpha=0.1, lambda=0.2 
+ Fold07.Rep1: alpha=0.2, lambda=0.2 
- Fold07.Rep1: alpha=0.2, lambda=0.2 
+ Fold07.Rep1: alpha=0.4, lambda=0.2 
- Fold07.Rep1: alpha=0.4, lambda=0.2 
+ Fold07.Rep1: alpha=0.6, lambda=0.2 
- Fold07.Rep1: alpha=0.6, lambda=0.2 
+ Fold07.Rep1: alpha=0.8, lambda=0.2 
- Fold07.Rep1: alpha=0.8, lambda=0.2 
+ Fold07.Rep1: alpha=1.0, lambda=0.2 
- Fold07.Rep1: alpha=1.0, lambda=0.2 
+ Fold08.Rep1: alpha=0.0, lambda=0.2 
- Fold08.Rep1: alpha=0.0, lambda=0.2 
+ Fold08.Rep1: alpha=0.1, lambda=0.2 
- Fold08.Rep1: alpha=0.1, lambda=0.2 
+ Fold08.Rep1: alpha=0.2, lambda=0.2 
- Fold08.Rep1: alpha=0.2, lambda=0.2 
+ Fold08.Rep1: alpha=0.4, lambda=0.2 
- Fold08.Rep1: alpha=0.4, lambda=0.2 
+ Fold08.Rep1: alpha=0.6, lambda=0.2 
- Fold08.Rep1: alpha=0.6, lambda=0.2 
+ Fold08.Rep1: alpha=0.8, lambda=0.2 
- Fold08.Rep1: alpha=0.8, lambda=0.2 
+ Fold08.Rep1: alpha=1.0, lambda=0.2 
- Fold08.Rep1: alpha=1.0, lambda=0.2 
+ Fold09.Rep1: alpha=0.0, lambda=0.2 
- Fold09.Rep1: alpha=0.0, lambda=0.2 
+ Fold09.Rep1: alpha=0.1, lambda=0.2 
- Fold09.Rep1: alpha=0.1, lambda=0.2 
+ Fold09.Rep1: alpha=0.2, lambda=0.2 
- Fold09.Rep1: alpha=0.2, lambda=0.2 
+ Fold09.Rep1: alpha=0.4, lambda=0.2 
- Fold09.Rep1: alpha=0.4, lambda=0.2 
+ Fold09.Rep1: alpha=0.6, lambda=0.2 
- Fold09.Rep1: alpha=0.6, lambda=0.2 
+ Fold09.Rep1: alpha=0.8, lambda=0.2 
- Fold09.Rep1: alpha=0.8, lambda=0.2 
+ Fold09.Rep1: alpha=1.0, lambda=0.2 
- Fold09.Rep1: alpha=1.0, lambda=0.2 
+ Fold10.Rep1: alpha=0.0, lambda=0.2 
- Fold10.Rep1: alpha=0.0, lambda=0.2 
+ Fold10.Rep1: alpha=0.1, lambda=0.2 
- Fold10.Rep1: alpha=0.1, lambda=0.2 
+ Fold10.Rep1: alpha=0.2, lambda=0.2 
- Fold10.Rep1: alpha=0.2, lambda=0.2 
+ Fold10.Rep1: alpha=0.4, lambda=0.2 
- Fold10.Rep1: alpha=0.4, lambda=0.2 
+ Fold10.Rep1: alpha=0.6, lambda=0.2 
- Fold10.Rep1: alpha=0.6, lambda=0.2 
+ Fold10.Rep1: alpha=0.8, lambda=0.2 
- Fold10.Rep1: alpha=0.8, lambda=0.2 
+ Fold10.Rep1: alpha=1.0, lambda=0.2 
- Fold10.Rep1: alpha=1.0, lambda=0.2 
+ Fold01.Rep2: alpha=0.0, lambda=0.2 
- Fold01.Rep2: alpha=0.0, lambda=0.2 
+ Fold01.Rep2: alpha=0.1, lambda=0.2 
- Fold01.Rep2: alpha=0.1, lambda=0.2 
+ Fold01.Rep2: alpha=0.2, lambda=0.2 
- Fold01.Rep2: alpha=0.2, lambda=0.2 
+ Fold01.Rep2: alpha=0.4, lambda=0.2 
- Fold01.Rep2: alpha=0.4, lambda=0.2 
+ Fold01.Rep2: alpha=0.6, lambda=0.2 
- Fold01.Rep2: alpha=0.6, lambda=0.2 
+ Fold01.Rep2: alpha=0.8, lambda=0.2 
- Fold01.Rep2: alpha=0.8, lambda=0.2 
+ Fold01.Rep2: alpha=1.0, lambda=0.2 
- Fold01.Rep2: alpha=1.0, lambda=0.2 
+ Fold02.Rep2: alpha=0.0, lambda=0.2 
- Fold02.Rep2: alpha=0.0, lambda=0.2 
+ Fold02.Rep2: alpha=0.1, lambda=0.2 
- Fold02.Rep2: alpha=0.1, lambda=0.2 
+ Fold02.Rep2: alpha=0.2, lambda=0.2 
- Fold02.Rep2: alpha=0.2, lambda=0.2 
+ Fold02.Rep2: alpha=0.4, lambda=0.2 
- Fold02.Rep2: alpha=0.4, lambda=0.2 
+ Fold02.Rep2: alpha=0.6, lambda=0.2 
- Fold02.Rep2: alpha=0.6, lambda=0.2 
+ Fold02.Rep2: alpha=0.8, lambda=0.2 
- Fold02.Rep2: alpha=0.8, lambda=0.2 
+ Fold02.Rep2: alpha=1.0, lambda=0.2 
- Fold02.Rep2: alpha=1.0, lambda=0.2 
+ Fold03.Rep2: alpha=0.0, lambda=0.2 
- Fold03.Rep2: alpha=0.0, lambda=0.2 
+ Fold03.Rep2: alpha=0.1, lambda=0.2 
- Fold03.Rep2: alpha=0.1, lambda=0.2 
+ Fold03.Rep2: alpha=0.2, lambda=0.2 
- Fold03.Rep2: alpha=0.2, lambda=0.2 
+ Fold03.Rep2: alpha=0.4, lambda=0.2 
- Fold03.Rep2: alpha=0.4, lambda=0.2 
+ Fold03.Rep2: alpha=0.6, lambda=0.2 
- Fold03.Rep2: alpha=0.6, lambda=0.2 
+ Fold03.Rep2: alpha=0.8, lambda=0.2 
- Fold03.Rep2: alpha=0.8, lambda=0.2 
+ Fold03.Rep2: alpha=1.0, lambda=0.2 
- Fold03.Rep2: alpha=1.0, lambda=0.2 
+ Fold04.Rep2: alpha=0.0, lambda=0.2 
- Fold04.Rep2: alpha=0.0, lambda=0.2 
+ Fold04.Rep2: alpha=0.1, lambda=0.2 
- Fold04.Rep2: alpha=0.1, lambda=0.2 
+ Fold04.Rep2: alpha=0.2, lambda=0.2 
- Fold04.Rep2: alpha=0.2, lambda=0.2 
+ Fold04.Rep2: alpha=0.4, lambda=0.2 
- Fold04.Rep2: alpha=0.4, lambda=0.2 
+ Fold04.Rep2: alpha=0.6, lambda=0.2 
- Fold04.Rep2: alpha=0.6, lambda=0.2 
+ Fold04.Rep2: alpha=0.8, lambda=0.2 
- Fold04.Rep2: alpha=0.8, lambda=0.2 
+ Fold04.Rep2: alpha=1.0, lambda=0.2 
- Fold04.Rep2: alpha=1.0, lambda=0.2 
+ Fold05.Rep2: alpha=0.0, lambda=0.2 
- Fold05.Rep2: alpha=0.0, lambda=0.2 
+ Fold05.Rep2: alpha=0.1, lambda=0.2 
- Fold05.Rep2: alpha=0.1, lambda=0.2 
+ Fold05.Rep2: alpha=0.2, lambda=0.2 
- Fold05.Rep2: alpha=0.2, lambda=0.2 
+ Fold05.Rep2: alpha=0.4, lambda=0.2 
- Fold05.Rep2: alpha=0.4, lambda=0.2 
+ Fold05.Rep2: alpha=0.6, lambda=0.2 
- Fold05.Rep2: alpha=0.6, lambda=0.2 
+ Fold05.Rep2: alpha=0.8, lambda=0.2 
- Fold05.Rep2: alpha=0.8, lambda=0.2 
+ Fold05.Rep2: alpha=1.0, lambda=0.2 
- Fold05.Rep2: alpha=1.0, lambda=0.2 
+ Fold06.Rep2: alpha=0.0, lambda=0.2 
- Fold06.Rep2: alpha=0.0, lambda=0.2 
+ Fold06.Rep2: alpha=0.1, lambda=0.2 
- Fold06.Rep2: alpha=0.1, lambda=0.2 
+ Fold06.Rep2: alpha=0.2, lambda=0.2 
- Fold06.Rep2: alpha=0.2, lambda=0.2 
+ Fold06.Rep2: alpha=0.4, lambda=0.2 
- Fold06.Rep2: alpha=0.4, lambda=0.2 
+ Fold06.Rep2: alpha=0.6, lambda=0.2 
- Fold06.Rep2: alpha=0.6, lambda=0.2 
+ Fold06.Rep2: alpha=0.8, lambda=0.2 
- Fold06.Rep2: alpha=0.8, lambda=0.2 
+ Fold06.Rep2: alpha=1.0, lambda=0.2 
- Fold06.Rep2: alpha=1.0, lambda=0.2 
+ Fold07.Rep2: alpha=0.0, lambda=0.2 
- Fold07.Rep2: alpha=0.0, lambda=0.2 
+ Fold07.Rep2: alpha=0.1, lambda=0.2 
- Fold07.Rep2: alpha=0.1, lambda=0.2 
+ Fold07.Rep2: alpha=0.2, lambda=0.2 
- Fold07.Rep2: alpha=0.2, lambda=0.2 
+ Fold07.Rep2: alpha=0.4, lambda=0.2 
- Fold07.Rep2: alpha=0.4, lambda=0.2 
+ Fold07.Rep2: alpha=0.6, lambda=0.2 
- Fold07.Rep2: alpha=0.6, lambda=0.2 
+ Fold07.Rep2: alpha=0.8, lambda=0.2 
- Fold07.Rep2: alpha=0.8, lambda=0.2 
+ Fold07.Rep2: alpha=1.0, lambda=0.2 
- Fold07.Rep2: alpha=1.0, lambda=0.2 
+ Fold08.Rep2: alpha=0.0, lambda=0.2 
- Fold08.Rep2: alpha=0.0, lambda=0.2 
+ Fold08.Rep2: alpha=0.1, lambda=0.2 
- Fold08.Rep2: alpha=0.1, lambda=0.2 
+ Fold08.Rep2: alpha=0.2, lambda=0.2 
- Fold08.Rep2: alpha=0.2, lambda=0.2 
+ Fold08.Rep2: alpha=0.4, lambda=0.2 
- Fold08.Rep2: alpha=0.4, lambda=0.2 
+ Fold08.Rep2: alpha=0.6, lambda=0.2 
- Fold08.Rep2: alpha=0.6, lambda=0.2 
+ Fold08.Rep2: alpha=0.8, lambda=0.2 
- Fold08.Rep2: alpha=0.8, lambda=0.2 
+ Fold08.Rep2: alpha=1.0, lambda=0.2 
- Fold08.Rep2: alpha=1.0, lambda=0.2 
+ Fold09.Rep2: alpha=0.0, lambda=0.2 
- Fold09.Rep2: alpha=0.0, lambda=0.2 
+ Fold09.Rep2: alpha=0.1, lambda=0.2 
- Fold09.Rep2: alpha=0.1, lambda=0.2 
+ Fold09.Rep2: alpha=0.2, lambda=0.2 
- Fold09.Rep2: alpha=0.2, lambda=0.2 
+ Fold09.Rep2: alpha=0.4, lambda=0.2 
- Fold09.Rep2: alpha=0.4, lambda=0.2 
+ Fold09.Rep2: alpha=0.6, lambda=0.2 
- Fold09.Rep2: alpha=0.6, lambda=0.2 
+ Fold09.Rep2: alpha=0.8, lambda=0.2 
- Fold09.Rep2: alpha=0.8, lambda=0.2 
+ Fold09.Rep2: alpha=1.0, lambda=0.2 
- Fold09.Rep2: alpha=1.0, lambda=0.2 
+ Fold10.Rep2: alpha=0.0, lambda=0.2 
- Fold10.Rep2: alpha=0.0, lambda=0.2 
+ Fold10.Rep2: alpha=0.1, lambda=0.2 
- Fold10.Rep2: alpha=0.1, lambda=0.2 
+ Fold10.Rep2: alpha=0.2, lambda=0.2 
- Fold10.Rep2: alpha=0.2, lambda=0.2 
+ Fold10.Rep2: alpha=0.4, lambda=0.2 
- Fold10.Rep2: alpha=0.4, lambda=0.2 
+ Fold10.Rep2: alpha=0.6, lambda=0.2 
- Fold10.Rep2: alpha=0.6, lambda=0.2 
+ Fold10.Rep2: alpha=0.8, lambda=0.2 
- Fold10.Rep2: alpha=0.8, lambda=0.2 
+ Fold10.Rep2: alpha=1.0, lambda=0.2 
- Fold10.Rep2: alpha=1.0, lambda=0.2 
+ Fold01.Rep3: alpha=0.0, lambda=0.2 
- Fold01.Rep3: alpha=0.0, lambda=0.2 
+ Fold01.Rep3: alpha=0.1, lambda=0.2 
- Fold01.Rep3: alpha=0.1, lambda=0.2 
+ Fold01.Rep3: alpha=0.2, lambda=0.2 
- Fold01.Rep3: alpha=0.2, lambda=0.2 
+ Fold01.Rep3: alpha=0.4, lambda=0.2 
- Fold01.Rep3: alpha=0.4, lambda=0.2 
+ Fold01.Rep3: alpha=0.6, lambda=0.2 
- Fold01.Rep3: alpha=0.6, lambda=0.2 
+ Fold01.Rep3: alpha=0.8, lambda=0.2 
- Fold01.Rep3: alpha=0.8, lambda=0.2 
+ Fold01.Rep3: alpha=1.0, lambda=0.2 
- Fold01.Rep3: alpha=1.0, lambda=0.2 
+ Fold02.Rep3: alpha=0.0, lambda=0.2 
- Fold02.Rep3: alpha=0.0, lambda=0.2 
+ Fold02.Rep3: alpha=0.1, lambda=0.2 
- Fold02.Rep3: alpha=0.1, lambda=0.2 
+ Fold02.Rep3: alpha=0.2, lambda=0.2 
- Fold02.Rep3: alpha=0.2, lambda=0.2 
+ Fold02.Rep3: alpha=0.4, lambda=0.2 
- Fold02.Rep3: alpha=0.4, lambda=0.2 
+ Fold02.Rep3: alpha=0.6, lambda=0.2 
- Fold02.Rep3: alpha=0.6, lambda=0.2 
+ Fold02.Rep3: alpha=0.8, lambda=0.2 
- Fold02.Rep3: alpha=0.8, lambda=0.2 
+ Fold02.Rep3: alpha=1.0, lambda=0.2 
- Fold02.Rep3: alpha=1.0, lambda=0.2 
+ Fold03.Rep3: alpha=0.0, lambda=0.2 
- Fold03.Rep3: alpha=0.0, lambda=0.2 
+ Fold03.Rep3: alpha=0.1, lambda=0.2 
- Fold03.Rep3: alpha=0.1, lambda=0.2 
+ Fold03.Rep3: alpha=0.2, lambda=0.2 
- Fold03.Rep3: alpha=0.2, lambda=0.2 
+ Fold03.Rep3: alpha=0.4, lambda=0.2 
- Fold03.Rep3: alpha=0.4, lambda=0.2 
+ Fold03.Rep3: alpha=0.6, lambda=0.2 
- Fold03.Rep3: alpha=0.6, lambda=0.2 
+ Fold03.Rep3: alpha=0.8, lambda=0.2 
- Fold03.Rep3: alpha=0.8, lambda=0.2 
+ Fold03.Rep3: alpha=1.0, lambda=0.2 
- Fold03.Rep3: alpha=1.0, lambda=0.2 
+ Fold04.Rep3: alpha=0.0, lambda=0.2 
- Fold04.Rep3: alpha=0.0, lambda=0.2 
+ Fold04.Rep3: alpha=0.1, lambda=0.2 
- Fold04.Rep3: alpha=0.1, lambda=0.2 
+ Fold04.Rep3: alpha=0.2, lambda=0.2 
- Fold04.Rep3: alpha=0.2, lambda=0.2 
+ Fold04.Rep3: alpha=0.4, lambda=0.2 
- Fold04.Rep3: alpha=0.4, lambda=0.2 
+ Fold04.Rep3: alpha=0.6, lambda=0.2 
- Fold04.Rep3: alpha=0.6, lambda=0.2 
+ Fold04.Rep3: alpha=0.8, lambda=0.2 
- Fold04.Rep3: alpha=0.8, lambda=0.2 
+ Fold04.Rep3: alpha=1.0, lambda=0.2 
- Fold04.Rep3: alpha=1.0, lambda=0.2 
+ Fold05.Rep3: alpha=0.0, lambda=0.2 
- Fold05.Rep3: alpha=0.0, lambda=0.2 
+ Fold05.Rep3: alpha=0.1, lambda=0.2 
- Fold05.Rep3: alpha=0.1, lambda=0.2 
+ Fold05.Rep3: alpha=0.2, lambda=0.2 
- Fold05.Rep3: alpha=0.2, lambda=0.2 
+ Fold05.Rep3: alpha=0.4, lambda=0.2 
- Fold05.Rep3: alpha=0.4, lambda=0.2 
+ Fold05.Rep3: alpha=0.6, lambda=0.2 
- Fold05.Rep3: alpha=0.6, lambda=0.2 
+ Fold05.Rep3: alpha=0.8, lambda=0.2 
- Fold05.Rep3: alpha=0.8, lambda=0.2 
+ Fold05.Rep3: alpha=1.0, lambda=0.2 
- Fold05.Rep3: alpha=1.0, lambda=0.2 
+ Fold06.Rep3: alpha=0.0, lambda=0.2 
- Fold06.Rep3: alpha=0.0, lambda=0.2 
+ Fold06.Rep3: alpha=0.1, lambda=0.2 
- Fold06.Rep3: alpha=0.1, lambda=0.2 
+ Fold06.Rep3: alpha=0.2, lambda=0.2 
- Fold06.Rep3: alpha=0.2, lambda=0.2 
+ Fold06.Rep3: alpha=0.4, lambda=0.2 
- Fold06.Rep3: alpha=0.4, lambda=0.2 
+ Fold06.Rep3: alpha=0.6, lambda=0.2 
- Fold06.Rep3: alpha=0.6, lambda=0.2 
+ Fold06.Rep3: alpha=0.8, lambda=0.2 
- Fold06.Rep3: alpha=0.8, lambda=0.2 
+ Fold06.Rep3: alpha=1.0, lambda=0.2 
- Fold06.Rep3: alpha=1.0, lambda=0.2 
+ Fold07.Rep3: alpha=0.0, lambda=0.2 
- Fold07.Rep3: alpha=0.0, lambda=0.2 
+ Fold07.Rep3: alpha=0.1, lambda=0.2 
- Fold07.Rep3: alpha=0.1, lambda=0.2 
+ Fold07.Rep3: alpha=0.2, lambda=0.2 
- Fold07.Rep3: alpha=0.2, lambda=0.2 
+ Fold07.Rep3: alpha=0.4, lambda=0.2 
- Fold07.Rep3: alpha=0.4, lambda=0.2 
+ Fold07.Rep3: alpha=0.6, lambda=0.2 
- Fold07.Rep3: alpha=0.6, lambda=0.2 
+ Fold07.Rep3: alpha=0.8, lambda=0.2 
- Fold07.Rep3: alpha=0.8, lambda=0.2 
+ Fold07.Rep3: alpha=1.0, lambda=0.2 
- Fold07.Rep3: alpha=1.0, lambda=0.2 
+ Fold08.Rep3: alpha=0.0, lambda=0.2 
- Fold08.Rep3: alpha=0.0, lambda=0.2 
+ Fold08.Rep3: alpha=0.1, lambda=0.2 
- Fold08.Rep3: alpha=0.1, lambda=0.2 
+ Fold08.Rep3: alpha=0.2, lambda=0.2 
- Fold08.Rep3: alpha=0.2, lambda=0.2 
+ Fold08.Rep3: alpha=0.4, lambda=0.2 
- Fold08.Rep3: alpha=0.4, lambda=0.2 
+ Fold08.Rep3: alpha=0.6, lambda=0.2 
- Fold08.Rep3: alpha=0.6, lambda=0.2 
+ Fold08.Rep3: alpha=0.8, lambda=0.2 
- Fold08.Rep3: alpha=0.8, lambda=0.2 
+ Fold08.Rep3: alpha=1.0, lambda=0.2 
- Fold08.Rep3: alpha=1.0, lambda=0.2 
+ Fold09.Rep3: alpha=0.0, lambda=0.2 
- Fold09.Rep3: alpha=0.0, lambda=0.2 
+ Fold09.Rep3: alpha=0.1, lambda=0.2 
- Fold09.Rep3: alpha=0.1, lambda=0.2 
+ Fold09.Rep3: alpha=0.2, lambda=0.2 
- Fold09.Rep3: alpha=0.2, lambda=0.2 
+ Fold09.Rep3: alpha=0.4, lambda=0.2 
- Fold09.Rep3: alpha=0.4, lambda=0.2 
+ Fold09.Rep3: alpha=0.6, lambda=0.2 
- Fold09.Rep3: alpha=0.6, lambda=0.2 
+ Fold09.Rep3: alpha=0.8, lambda=0.2 
- Fold09.Rep3: alpha=0.8, lambda=0.2 
+ Fold09.Rep3: alpha=1.0, lambda=0.2 
- Fold09.Rep3: alpha=1.0, lambda=0.2 
+ Fold10.Rep3: alpha=0.0, lambda=0.2 
- Fold10.Rep3: alpha=0.0, lambda=0.2 
+ Fold10.Rep3: alpha=0.1, lambda=0.2 
- Fold10.Rep3: alpha=0.1, lambda=0.2 
+ Fold10.Rep3: alpha=0.2, lambda=0.2 
- Fold10.Rep3: alpha=0.2, lambda=0.2 
+ Fold10.Rep3: alpha=0.4, lambda=0.2 
- Fold10.Rep3: alpha=0.4, lambda=0.2 
+ Fold10.Rep3: alpha=0.6, lambda=0.2 
- Fold10.Rep3: alpha=0.6, lambda=0.2 
+ Fold10.Rep3: alpha=0.8, lambda=0.2 
- Fold10.Rep3: alpha=0.8, lambda=0.2 
+ Fold10.Rep3: alpha=1.0, lambda=0.2 
- Fold10.Rep3: alpha=1.0, lambda=0.2 
+ Fold01.Rep4: alpha=0.0, lambda=0.2 
- Fold01.Rep4: alpha=0.0, lambda=0.2 
+ Fold01.Rep4: alpha=0.1, lambda=0.2 
- Fold01.Rep4: alpha=0.1, lambda=0.2 
+ Fold01.Rep4: alpha=0.2, lambda=0.2 
- Fold01.Rep4: alpha=0.2, lambda=0.2 
+ Fold01.Rep4: alpha=0.4, lambda=0.2 
- Fold01.Rep4: alpha=0.4, lambda=0.2 
+ Fold01.Rep4: alpha=0.6, lambda=0.2 
- Fold01.Rep4: alpha=0.6, lambda=0.2 
+ Fold01.Rep4: alpha=0.8, lambda=0.2 
- Fold01.Rep4: alpha=0.8, lambda=0.2 
+ Fold01.Rep4: alpha=1.0, lambda=0.2 
- Fold01.Rep4: alpha=1.0, lambda=0.2 
+ Fold02.Rep4: alpha=0.0, lambda=0.2 
- Fold02.Rep4: alpha=0.0, lambda=0.2 
+ Fold02.Rep4: alpha=0.1, lambda=0.2 
- Fold02.Rep4: alpha=0.1, lambda=0.2 
+ Fold02.Rep4: alpha=0.2, lambda=0.2 
- Fold02.Rep4: alpha=0.2, lambda=0.2 
+ Fold02.Rep4: alpha=0.4, lambda=0.2 
- Fold02.Rep4: alpha=0.4, lambda=0.2 
+ Fold02.Rep4: alpha=0.6, lambda=0.2 
- Fold02.Rep4: alpha=0.6, lambda=0.2 
+ Fold02.Rep4: alpha=0.8, lambda=0.2 
- Fold02.Rep4: alpha=0.8, lambda=0.2 
+ Fold02.Rep4: alpha=1.0, lambda=0.2 
- Fold02.Rep4: alpha=1.0, lambda=0.2 
+ Fold03.Rep4: alpha=0.0, lambda=0.2 
- Fold03.Rep4: alpha=0.0, lambda=0.2 
+ Fold03.Rep4: alpha=0.1, lambda=0.2 
- Fold03.Rep4: alpha=0.1, lambda=0.2 
+ Fold03.Rep4: alpha=0.2, lambda=0.2 
- Fold03.Rep4: alpha=0.2, lambda=0.2 
+ Fold03.Rep4: alpha=0.4, lambda=0.2 
- Fold03.Rep4: alpha=0.4, lambda=0.2 
+ Fold03.Rep4: alpha=0.6, lambda=0.2 
- Fold03.Rep4: alpha=0.6, lambda=0.2 
+ Fold03.Rep4: alpha=0.8, lambda=0.2 
- Fold03.Rep4: alpha=0.8, lambda=0.2 
+ Fold03.Rep4: alpha=1.0, lambda=0.2 
- Fold03.Rep4: alpha=1.0, lambda=0.2 
+ Fold04.Rep4: alpha=0.0, lambda=0.2 
- Fold04.Rep4: alpha=0.0, lambda=0.2 
+ Fold04.Rep4: alpha=0.1, lambda=0.2 
- Fold04.Rep4: alpha=0.1, lambda=0.2 
+ Fold04.Rep4: alpha=0.2, lambda=0.2 
- Fold04.Rep4: alpha=0.2, lambda=0.2 
+ Fold04.Rep4: alpha=0.4, lambda=0.2 
- Fold04.Rep4: alpha=0.4, lambda=0.2 
+ Fold04.Rep4: alpha=0.6, lambda=0.2 
- Fold04.Rep4: alpha=0.6, lambda=0.2 
+ Fold04.Rep4: alpha=0.8, lambda=0.2 
- Fold04.Rep4: alpha=0.8, lambda=0.2 
+ Fold04.Rep4: alpha=1.0, lambda=0.2 
- Fold04.Rep4: alpha=1.0, lambda=0.2 
+ Fold05.Rep4: alpha=0.0, lambda=0.2 
- Fold05.Rep4: alpha=0.0, lambda=0.2 
+ Fold05.Rep4: alpha=0.1, lambda=0.2 
- Fold05.Rep4: alpha=0.1, lambda=0.2 
+ Fold05.Rep4: alpha=0.2, lambda=0.2 
- Fold05.Rep4: alpha=0.2, lambda=0.2 
+ Fold05.Rep4: alpha=0.4, lambda=0.2 
- Fold05.Rep4: alpha=0.4, lambda=0.2 
+ Fold05.Rep4: alpha=0.6, lambda=0.2 
- Fold05.Rep4: alpha=0.6, lambda=0.2 
+ Fold05.Rep4: alpha=0.8, lambda=0.2 
- Fold05.Rep4: alpha=0.8, lambda=0.2 
+ Fold05.Rep4: alpha=1.0, lambda=0.2 
- Fold05.Rep4: alpha=1.0, lambda=0.2 
+ Fold06.Rep4: alpha=0.0, lambda=0.2 
- Fold06.Rep4: alpha=0.0, lambda=0.2 
+ Fold06.Rep4: alpha=0.1, lambda=0.2 
- Fold06.Rep4: alpha=0.1, lambda=0.2 
+ Fold06.Rep4: alpha=0.2, lambda=0.2 
- Fold06.Rep4: alpha=0.2, lambda=0.2 
+ Fold06.Rep4: alpha=0.4, lambda=0.2 
- Fold06.Rep4: alpha=0.4, lambda=0.2 
+ Fold06.Rep4: alpha=0.6, lambda=0.2 
- Fold06.Rep4: alpha=0.6, lambda=0.2 
+ Fold06.Rep4: alpha=0.8, lambda=0.2 
- Fold06.Rep4: alpha=0.8, lambda=0.2 
+ Fold06.Rep4: alpha=1.0, lambda=0.2 
- Fold06.Rep4: alpha=1.0, lambda=0.2 
+ Fold07.Rep4: alpha=0.0, lambda=0.2 
- Fold07.Rep4: alpha=0.0, lambda=0.2 
+ Fold07.Rep4: alpha=0.1, lambda=0.2 
- Fold07.Rep4: alpha=0.1, lambda=0.2 
+ Fold07.Rep4: alpha=0.2, lambda=0.2 
- Fold07.Rep4: alpha=0.2, lambda=0.2 
+ Fold07.Rep4: alpha=0.4, lambda=0.2 
- Fold07.Rep4: alpha=0.4, lambda=0.2 
+ Fold07.Rep4: alpha=0.6, lambda=0.2 
- Fold07.Rep4: alpha=0.6, lambda=0.2 
+ Fold07.Rep4: alpha=0.8, lambda=0.2 
- Fold07.Rep4: alpha=0.8, lambda=0.2 
+ Fold07.Rep4: alpha=1.0, lambda=0.2 
- Fold07.Rep4: alpha=1.0, lambda=0.2 
+ Fold08.Rep4: alpha=0.0, lambda=0.2 
- Fold08.Rep4: alpha=0.0, lambda=0.2 
+ Fold08.Rep4: alpha=0.1, lambda=0.2 
- Fold08.Rep4: alpha=0.1, lambda=0.2 
+ Fold08.Rep4: alpha=0.2, lambda=0.2 
- Fold08.Rep4: alpha=0.2, lambda=0.2 
+ Fold08.Rep4: alpha=0.4, lambda=0.2 
- Fold08.Rep4: alpha=0.4, lambda=0.2 
+ Fold08.Rep4: alpha=0.6, lambda=0.2 
- Fold08.Rep4: alpha=0.6, lambda=0.2 
+ Fold08.Rep4: alpha=0.8, lambda=0.2 
- Fold08.Rep4: alpha=0.8, lambda=0.2 
+ Fold08.Rep4: alpha=1.0, lambda=0.2 
- Fold08.Rep4: alpha=1.0, lambda=0.2 
+ Fold09.Rep4: alpha=0.0, lambda=0.2 
- Fold09.Rep4: alpha=0.0, lambda=0.2 
+ Fold09.Rep4: alpha=0.1, lambda=0.2 
- Fold09.Rep4: alpha=0.1, lambda=0.2 
+ Fold09.Rep4: alpha=0.2, lambda=0.2 
- Fold09.Rep4: alpha=0.2, lambda=0.2 
+ Fold09.Rep4: alpha=0.4, lambda=0.2 
- Fold09.Rep4: alpha=0.4, lambda=0.2 
+ Fold09.Rep4: alpha=0.6, lambda=0.2 
- Fold09.Rep4: alpha=0.6, lambda=0.2 
+ Fold09.Rep4: alpha=0.8, lambda=0.2 
- Fold09.Rep4: alpha=0.8, lambda=0.2 
+ Fold09.Rep4: alpha=1.0, lambda=0.2 
- Fold09.Rep4: alpha=1.0, lambda=0.2 
+ Fold10.Rep4: alpha=0.0, lambda=0.2 
- Fold10.Rep4: alpha=0.0, lambda=0.2 
+ Fold10.Rep4: alpha=0.1, lambda=0.2 
- Fold10.Rep4: alpha=0.1, lambda=0.2 
+ Fold10.Rep4: alpha=0.2, lambda=0.2 
- Fold10.Rep4: alpha=0.2, lambda=0.2 
+ Fold10.Rep4: alpha=0.4, lambda=0.2 
- Fold10.Rep4: alpha=0.4, lambda=0.2 
+ Fold10.Rep4: alpha=0.6, lambda=0.2 
- Fold10.Rep4: alpha=0.6, lambda=0.2 
+ Fold10.Rep4: alpha=0.8, lambda=0.2 
- Fold10.Rep4: alpha=0.8, lambda=0.2 
+ Fold10.Rep4: alpha=1.0, lambda=0.2 
- Fold10.Rep4: alpha=1.0, lambda=0.2 
+ Fold01.Rep5: alpha=0.0, lambda=0.2 
- Fold01.Rep5: alpha=0.0, lambda=0.2 
+ Fold01.Rep5: alpha=0.1, lambda=0.2 
- Fold01.Rep5: alpha=0.1, lambda=0.2 
+ Fold01.Rep5: alpha=0.2, lambda=0.2 
- Fold01.Rep5: alpha=0.2, lambda=0.2 
+ Fold01.Rep5: alpha=0.4, lambda=0.2 
- Fold01.Rep5: alpha=0.4, lambda=0.2 
+ Fold01.Rep5: alpha=0.6, lambda=0.2 
- Fold01.Rep5: alpha=0.6, lambda=0.2 
+ Fold01.Rep5: alpha=0.8, lambda=0.2 
- Fold01.Rep5: alpha=0.8, lambda=0.2 
+ Fold01.Rep5: alpha=1.0, lambda=0.2 
- Fold01.Rep5: alpha=1.0, lambda=0.2 
+ Fold02.Rep5: alpha=0.0, lambda=0.2 
- Fold02.Rep5: alpha=0.0, lambda=0.2 
+ Fold02.Rep5: alpha=0.1, lambda=0.2 
- Fold02.Rep5: alpha=0.1, lambda=0.2 
+ Fold02.Rep5: alpha=0.2, lambda=0.2 
- Fold02.Rep5: alpha=0.2, lambda=0.2 
+ Fold02.Rep5: alpha=0.4, lambda=0.2 
- Fold02.Rep5: alpha=0.4, lambda=0.2 
+ Fold02.Rep5: alpha=0.6, lambda=0.2 
- Fold02.Rep5: alpha=0.6, lambda=0.2 
+ Fold02.Rep5: alpha=0.8, lambda=0.2 
- Fold02.Rep5: alpha=0.8, lambda=0.2 
+ Fold02.Rep5: alpha=1.0, lambda=0.2 
- Fold02.Rep5: alpha=1.0, lambda=0.2 
+ Fold03.Rep5: alpha=0.0, lambda=0.2 
- Fold03.Rep5: alpha=0.0, lambda=0.2 
+ Fold03.Rep5: alpha=0.1, lambda=0.2 
- Fold03.Rep5: alpha=0.1, lambda=0.2 
+ Fold03.Rep5: alpha=0.2, lambda=0.2 
- Fold03.Rep5: alpha=0.2, lambda=0.2 
+ Fold03.Rep5: alpha=0.4, lambda=0.2 
- Fold03.Rep5: alpha=0.4, lambda=0.2 
+ Fold03.Rep5: alpha=0.6, lambda=0.2 
- Fold03.Rep5: alpha=0.6, lambda=0.2 
+ Fold03.Rep5: alpha=0.8, lambda=0.2 
- Fold03.Rep5: alpha=0.8, lambda=0.2 
+ Fold03.Rep5: alpha=1.0, lambda=0.2 
- Fold03.Rep5: alpha=1.0, lambda=0.2 
+ Fold04.Rep5: alpha=0.0, lambda=0.2 
- Fold04.Rep5: alpha=0.0, lambda=0.2 
+ Fold04.Rep5: alpha=0.1, lambda=0.2 
- Fold04.Rep5: alpha=0.1, lambda=0.2 
+ Fold04.Rep5: alpha=0.2, lambda=0.2 
- Fold04.Rep5: alpha=0.2, lambda=0.2 
+ Fold04.Rep5: alpha=0.4, lambda=0.2 
- Fold04.Rep5: alpha=0.4, lambda=0.2 
+ Fold04.Rep5: alpha=0.6, lambda=0.2 
- Fold04.Rep5: alpha=0.6, lambda=0.2 
+ Fold04.Rep5: alpha=0.8, lambda=0.2 
- Fold04.Rep5: alpha=0.8, lambda=0.2 
+ Fold04.Rep5: alpha=1.0, lambda=0.2 
- Fold04.Rep5: alpha=1.0, lambda=0.2 
+ Fold05.Rep5: alpha=0.0, lambda=0.2 
- Fold05.Rep5: alpha=0.0, lambda=0.2 
+ Fold05.Rep5: alpha=0.1, lambda=0.2 
- Fold05.Rep5: alpha=0.1, lambda=0.2 
+ Fold05.Rep5: alpha=0.2, lambda=0.2 
- Fold05.Rep5: alpha=0.2, lambda=0.2 
+ Fold05.Rep5: alpha=0.4, lambda=0.2 
- Fold05.Rep5: alpha=0.4, lambda=0.2 
+ Fold05.Rep5: alpha=0.6, lambda=0.2 
- Fold05.Rep5: alpha=0.6, lambda=0.2 
+ Fold05.Rep5: alpha=0.8, lambda=0.2 
- Fold05.Rep5: alpha=0.8, lambda=0.2 
+ Fold05.Rep5: alpha=1.0, lambda=0.2 
- Fold05.Rep5: alpha=1.0, lambda=0.2 
+ Fold06.Rep5: alpha=0.0, lambda=0.2 
- Fold06.Rep5: alpha=0.0, lambda=0.2 
+ Fold06.Rep5: alpha=0.1, lambda=0.2 
- Fold06.Rep5: alpha=0.1, lambda=0.2 
+ Fold06.Rep5: alpha=0.2, lambda=0.2 
- Fold06.Rep5: alpha=0.2, lambda=0.2 
+ Fold06.Rep5: alpha=0.4, lambda=0.2 
- Fold06.Rep5: alpha=0.4, lambda=0.2 
+ Fold06.Rep5: alpha=0.6, lambda=0.2 
- Fold06.Rep5: alpha=0.6, lambda=0.2 
+ Fold06.Rep5: alpha=0.8, lambda=0.2 
- Fold06.Rep5: alpha=0.8, lambda=0.2 
+ Fold06.Rep5: alpha=1.0, lambda=0.2 
- Fold06.Rep5: alpha=1.0, lambda=0.2 
+ Fold07.Rep5: alpha=0.0, lambda=0.2 
- Fold07.Rep5: alpha=0.0, lambda=0.2 
+ Fold07.Rep5: alpha=0.1, lambda=0.2 
- Fold07.Rep5: alpha=0.1, lambda=0.2 
+ Fold07.Rep5: alpha=0.2, lambda=0.2 
- Fold07.Rep5: alpha=0.2, lambda=0.2 
+ Fold07.Rep5: alpha=0.4, lambda=0.2 
- Fold07.Rep5: alpha=0.4, lambda=0.2 
+ Fold07.Rep5: alpha=0.6, lambda=0.2 
- Fold07.Rep5: alpha=0.6, lambda=0.2 
+ Fold07.Rep5: alpha=0.8, lambda=0.2 
- Fold07.Rep5: alpha=0.8, lambda=0.2 
+ Fold07.Rep5: alpha=1.0, lambda=0.2 
- Fold07.Rep5: alpha=1.0, lambda=0.2 
+ Fold08.Rep5: alpha=0.0, lambda=0.2 
- Fold08.Rep5: alpha=0.0, lambda=0.2 
+ Fold08.Rep5: alpha=0.1, lambda=0.2 
- Fold08.Rep5: alpha=0.1, lambda=0.2 
+ Fold08.Rep5: alpha=0.2, lambda=0.2 
- Fold08.Rep5: alpha=0.2, lambda=0.2 
+ Fold08.Rep5: alpha=0.4, lambda=0.2 
- Fold08.Rep5: alpha=0.4, lambda=0.2 
+ Fold08.Rep5: alpha=0.6, lambda=0.2 
- Fold08.Rep5: alpha=0.6, lambda=0.2 
+ Fold08.Rep5: alpha=0.8, lambda=0.2 
- Fold08.Rep5: alpha=0.8, lambda=0.2 
+ Fold08.Rep5: alpha=1.0, lambda=0.2 
- Fold08.Rep5: alpha=1.0, lambda=0.2 
+ Fold09.Rep5: alpha=0.0, lambda=0.2 
- Fold09.Rep5: alpha=0.0, lambda=0.2 
+ Fold09.Rep5: alpha=0.1, lambda=0.2 
- Fold09.Rep5: alpha=0.1, lambda=0.2 
+ Fold09.Rep5: alpha=0.2, lambda=0.2 
- Fold09.Rep5: alpha=0.2, lambda=0.2 
+ Fold09.Rep5: alpha=0.4, lambda=0.2 
- Fold09.Rep5: alpha=0.4, lambda=0.2 
+ Fold09.Rep5: alpha=0.6, lambda=0.2 
- Fold09.Rep5: alpha=0.6, lambda=0.2 
+ Fold09.Rep5: alpha=0.8, lambda=0.2 
- Fold09.Rep5: alpha=0.8, lambda=0.2 
+ Fold09.Rep5: alpha=1.0, lambda=0.2 
- Fold09.Rep5: alpha=1.0, lambda=0.2 
+ Fold10.Rep5: alpha=0.0, lambda=0.2 
- Fold10.Rep5: alpha=0.0, lambda=0.2 
+ Fold10.Rep5: alpha=0.1, lambda=0.2 
- Fold10.Rep5: alpha=0.1, lambda=0.2 
+ Fold10.Rep5: alpha=0.2, lambda=0.2 
- Fold10.Rep5: alpha=0.2, lambda=0.2 
+ Fold10.Rep5: alpha=0.4, lambda=0.2 
- Fold10.Rep5: alpha=0.4, lambda=0.2 
+ Fold10.Rep5: alpha=0.6, lambda=0.2 
- Fold10.Rep5: alpha=0.6, lambda=0.2 
+ Fold10.Rep5: alpha=0.8, lambda=0.2 
- Fold10.Rep5: alpha=0.8, lambda=0.2 
+ Fold10.Rep5: alpha=1.0, lambda=0.2 
- Fold10.Rep5: alpha=1.0, lambda=0.2 
Aggregating results
Selecting tuning parameters
Fitting alpha = 0.1, lambda = 0.0538 on full training set

save(glmnetFit,file = 'glmnetFit')
glmnetFit

glmnet 

891 samples
 54 predictor
  2 classes: 'Survived', 'Dead' 

No pre-processing
Resampling: Cross-Validated (10 fold, repeated 5 times) 
Summary of sample sizes: 803, 802, 802, 802, 802, 802, ... 
Addtional sampling using SMOTE

Resampling results across tuning parameters:

  alpha  lambda      ROC        Sens       Spec     
  0.0    0.01000000  0.8633706  0.7322185  0.8875219
  0.0    0.01487179  0.8633706  0.7322185  0.8875219
  0.0    0.01974359  0.8633706  0.7322185  0.8875219
  0.0    0.02461538  0.8633706  0.7322185  0.8875219
  0.0    0.02948718  0.8633706  0.7322185  0.8875219
  0.0    0.03435897  0.8633800  0.7316303  0.8875219
  0.0    0.03923077  0.8639496  0.7304874  0.8878788
  0.0    0.04410256  0.8641493  0.7293445  0.8875152
  0.0    0.04897436  0.8643947  0.7287563  0.8875152
  0.0    0.05384615  0.8644284  0.7281681  0.8871515
  0.0    0.05871795  0.8644691  0.7293445  0.8860471
  0.0    0.06358974  0.8646370  0.7293445  0.8842290
  0.0    0.06846154  0.8646878  0.7293445  0.8842290
  0.0    0.07333333  0.8647006  0.7305210  0.8835017
  0.0    0.07820513  0.8647505  0.7305210  0.8838653
  0.0    0.08307692  0.8649087  0.7305210  0.8842290
  0.0    0.08794872  0.8649916  0.7311092  0.8835017
  0.0    0.09282051  0.8649588  0.7328739  0.8835017
  0.0    0.09769231  0.8648616  0.7317143  0.8834949
  0.0    0.10256410  0.8648503  0.7311261  0.8831246
  0.0    0.10743590  0.8646905  0.7322857  0.8831246
  0.0    0.11230769  0.8646999  0.7322857  0.8831246
  0.0    0.11717949  0.8646338  0.7322857  0.8827609
  0.0    0.12205128  0.8643888  0.7328908  0.8827609
  0.0    0.12692308  0.8642510  0.7323025  0.8831246
  0.0    0.13179487  0.8643332  0.7317311  0.8827609
  0.0    0.13666667  0.8641931  0.7299832  0.8820337
  0.0    0.14153846  0.8640736  0.7305546  0.8813064
  0.0    0.14641026  0.8640521  0.7305546  0.8809428
  0.0    0.15128205  0.8640607  0.7311429  0.8805791
  0.0    0.15615385  0.8640524  0.7311429  0.8805724
  0.0    0.16102564  0.8640291  0.7299832  0.8802088
  0.0    0.16589744  0.8640812  0.7311429  0.8802088
  0.0    0.17076923  0.8640816  0.7311429  0.8798451
  0.0    0.17564103  0.8640604  0.7317311  0.8798451
  0.0    0.18051282  0.8639123  0.7317479  0.8794815
  0.0    0.18538462  0.8639120  0.7323361  0.8791178
  0.0    0.19025641  0.8638783  0.7317479  0.8787542
  0.0    0.19512821  0.8638465  0.7317311  0.8787542
  0.0    0.20000000  0.8637499  0.7323193  0.8791178
  0.1    0.01000000  0.8615236  0.7299832  0.8878586
  0.1    0.01487179  0.8629577  0.7300168  0.8893266
  0.1    0.01974359  0.8636940  0.7311429  0.8875017
  0.1    0.02461538  0.8646964  0.7328739  0.8871313
  0.1    0.02948718  0.8649522  0.7328235  0.8867542
  0.1    0.03435897  0.8656958  0.7316639  0.8849360
  0.1    0.03923077  0.8663775  0.7316639  0.8842088
  0.1    0.04410256  0.8666989  0.7304874  0.8860202
  0.1    0.04897436  0.8669906  0.7298992  0.8852929
  0.1    0.05384615  0.8672451  0.7299160  0.8856566
  0.1    0.05871795  0.8671391  0.7287731  0.8860202
  0.1    0.06358974  0.8669047  0.7293613  0.8871111
  0.1    0.06846154  0.8667238  0.7293613  0.8867475
  0.1    0.07333333  0.8667519  0.7282185  0.8878384
  0.1    0.07820513  0.8666154  0.7276134  0.8882020
  0.1    0.08307692  0.8664337  0.7258487  0.8878384
  0.1    0.08794872  0.8664226  0.7258487  0.8878384
  0.1    0.09282051  0.8663344  0.7258487  0.8874747
  0.1    0.09769231  0.8661303  0.7235126  0.8867475
  0.1    0.10256410  0.8658229  0.7217647  0.8867475
  0.1    0.10743590  0.8654600  0.7217647  0.8867475
  0.1    0.11230769  0.8652575  0.7217647  0.8871246
  0.1    0.11717949  0.8652522  0.7205714  0.8871246
  0.1    0.12205128  0.8651768  0.7205714  0.8871246
  0.1    0.12692308  0.8648586  0.7193950  0.8871246
  0.1    0.13179487  0.8646340  0.7188067  0.8867609
  0.1    0.13666667  0.8644312  0.7170756  0.8867609
  0.1    0.14153846  0.8639611  0.7147395  0.8871246
  0.1    0.14641026  0.8639498  0.7124034  0.8860337
  0.1    0.15128205  0.8635666  0.7106387  0.8863973
  0.1    0.15615385  0.8634917  0.7083193  0.8871246
  0.1    0.16102564  0.8632558  0.7083193  0.8874882
  0.1    0.16589744  0.8629180  0.7083193  0.8863973
  0.1    0.17076923  0.8627633  0.7083193  0.8856633
  0.1    0.17564103  0.8623693  0.7071597  0.8849360
  0.1    0.18051282  0.8622215  0.7054118  0.8842088
  0.1    0.18538462  0.8619248  0.7042353  0.8838451
  0.1    0.19025641  0.8616131  0.7048235  0.8827542
  0.1    0.19512821  0.8613358  0.7048235  0.8827475
  0.1    0.20000000  0.8611542  0.7054118  0.8831111
  0.2    0.01000000  0.8612944  0.7380504  0.8889293
  0.2    0.01487179  0.8626930  0.7316639  0.8885657
  0.2    0.01974359  0.8634089  0.7310756  0.8882088
  0.2    0.02461538  0.8638316  0.7334286  0.8893064
  0.2    0.02948718  0.8646839  0.7293277  0.8903973
  0.2    0.03435897  0.8646498  0.7276134  0.8903973
  0.2    0.03923077  0.8647611  0.7270420  0.8907609
  0.2    0.04410256  0.8647242  0.7264538  0.8907677
  0.2    0.04897436  0.8647550  0.7258655  0.8914949
  0.2    0.05384615  0.8647958  0.7247227  0.8911246
  0.2    0.05871795  0.8645090  0.7223697  0.8903973
  0.2    0.06358974  0.8641547  0.7211933  0.8914882
  0.2    0.06846154  0.8637091  0.7205882  0.8929428
  0.2    0.07333333  0.8635738  0.7194622  0.8918519
  0.2    0.07820513  0.8634021  0.7130420  0.8907542
  0.2    0.08307692  0.8633759  0.7130084  0.8896633
  0.2    0.08794872  0.8627895  0.7118319  0.8892929
  0.2    0.09282051  0.8625026  0.7130084  0.8885657
  0.2    0.09769231  0.8620265  0.7100672  0.8885657
  0.2    0.10256410  0.8616546  0.7083697  0.8871044
  0.2    0.10743590  0.8611525  0.7072101  0.8856498
  0.2    0.11230769  0.8606753  0.7060504  0.8852862
  0.2    0.11717949  0.8599943  0.7048739  0.8838249
  0.2    0.12205128  0.8594154  0.7031092  0.8834613
  0.2    0.12692308  0.8590396  0.7025210  0.8816431
  0.2    0.13179487  0.8585219  0.7025210  0.8805522
  0.2    0.13666667  0.8578748  0.7001681  0.8798249
  0.2    0.14153846  0.8574801  0.7001681  0.8772795
  0.2    0.14641026  0.8569602  0.7001681  0.8750909
  0.2    0.15128205  0.8563475  0.7001681  0.8743636
  0.2    0.15615385  0.8558435  0.6995798  0.8736229
  0.2    0.16102564  0.8555188  0.6989916  0.8739933
  0.2    0.16589744  0.8551220  0.6978319  0.8732593
  0.2    0.17076923  0.8544483  0.6966555  0.8725320
  0.2    0.17564103  0.8537049  0.6960840  0.8703502
  0.2    0.18051282  0.8530735  0.6972437  0.8688956
  0.2    0.18538462  0.8527238  0.6960672  0.8685320
  0.2    0.19025641  0.8521972  0.6943193  0.8685320
  0.2    0.19512821  0.8518463  0.6943193  0.8685320
  0.2    0.20000000  0.8512619  0.6931597  0.8685320
  0.4    0.01000000  0.8630834  0.7258824  0.8867744
  0.4    0.01487179  0.8650164  0.7252941  0.8889562
  0.4    0.01974359  0.8656004  0.7264706  0.8904040
  0.4    0.02461538  0.8662494  0.7288067  0.8903973
  0.4    0.02948718  0.8662702  0.7281849  0.8918519
  0.4    0.03435897  0.8658306  0.7281849  0.8914949
  0.4    0.03923077  0.8654087  0.7258319  0.8922088
  0.4    0.04410256  0.8647430  0.7229076  0.8925657
  0.4    0.04897436  0.8638668  0.7194118  0.8911111
  0.4    0.05384615  0.8627487  0.7182353  0.8903838
  0.4    0.05871795  0.8615496  0.7159160  0.8896431
  0.4    0.06358974  0.8607646  0.7100504  0.8881886
  0.4    0.06846154  0.8594481  0.7094790  0.8878249
  0.4    0.07333333  0.8583462  0.7077479  0.8874613
  0.4    0.07820513  0.8570572  0.7066050  0.8856431
  0.4    0.08307692  0.8560662  0.7042521  0.8856431
  0.4    0.08794872  0.8547029  0.7036807  0.8823502
  0.4    0.09282051  0.8538884  0.7036807  0.8790707
  0.4    0.09769231  0.8529509  0.7036975  0.8739798
  0.4    0.10256410  0.8527167  0.7036639  0.8725253
  0.4    0.10743590  0.8521346  0.7025042  0.8707071
  0.4    0.11230769  0.8517636  0.7019160  0.8692458
  0.4    0.11717949  0.8516704  0.6995966  0.8656094
  0.4    0.12205128  0.8515968  0.6984202  0.8630707
  0.4    0.12692308  0.8512889  0.6972437  0.8601481
  0.4    0.13179487  0.8509737  0.6960672  0.8586936
  0.4    0.13666667  0.8511588  0.6949076  0.8572391
  0.4    0.14153846  0.8502785  0.6931261  0.8557845
  0.4    0.14641026  0.8504224  0.6919328  0.8550640
  0.4    0.15128205  0.8505893  0.6919496  0.8536094
  0.4    0.15615385  0.8504485  0.6884034  0.8521549
  0.4    0.16102564  0.8500402  0.6872269  0.8514276
  0.4    0.16589744  0.8497028  0.6860840  0.8517912
  0.4    0.17076923  0.8489402  0.6860840  0.8517912
  0.4    0.17564103  0.8487877  0.6854958  0.8521549
  0.4    0.18051282  0.8488834  0.6843193  0.8521549
  0.4    0.18538462  0.8486105  0.6843193  0.8521549
  0.4    0.19025641  0.8484828  0.6831765  0.8525185
  0.4    0.19512821  0.8478834  0.6831765  0.8525185
  0.4    0.20000000  0.8477375  0.6820000  0.8525185
  0.6    0.01000000  0.8637390  0.7305210  0.8867542
  0.6    0.01487179  0.8649849  0.7275798  0.8896566
  0.6    0.01974359  0.8654870  0.7311429  0.8914815
  0.6    0.02461538  0.8655042  0.7293782  0.8940269
  0.6    0.02948718  0.8653799  0.7276303  0.8940269
  0.6    0.03435897  0.8647460  0.7224034  0.8929360
  0.6    0.03923077  0.8641484  0.7177311  0.8925657
  0.6    0.04410256  0.8625813  0.7071933  0.8911044
  0.6    0.04897436  0.8608443  0.7048571  0.8900135
  0.6    0.05384615  0.8586451  0.7031092  0.8896498
  0.6    0.05871795  0.8570419  0.7036975  0.8871044
  0.6    0.06358974  0.8553448  0.7030756  0.8849226
  0.6    0.06846154  0.8539155  0.7048403  0.8812727
  0.6    0.07333333  0.8534185  0.7054286  0.8725387
  0.6    0.07820513  0.8532213  0.7054286  0.8688889
  0.6    0.08307692  0.8533689  0.7054286  0.8645253
  0.6    0.08794872  0.8531760  0.7025042  0.8623434
  0.6    0.09282051  0.8530597  0.7036639  0.8605253
  0.6    0.09769231  0.8526678  0.7007227  0.8528822
  0.6    0.10256410  0.8532871  0.6983697  0.8521549
  0.6    0.10743590  0.8533934  0.6949076  0.8506869
  0.6    0.11230769  0.8521404  0.6925546  0.8510505
  0.6    0.11717949  0.8515733  0.6913613  0.8506869
  0.6    0.12205128  0.8505164  0.6907731  0.8506869
  0.6    0.12692308  0.8498630  0.6878487  0.8510505
  0.6    0.13179487  0.8490281  0.6860840  0.8517912
  0.6    0.13666667  0.8482085  0.6837647  0.8521549
  0.6    0.14153846  0.8476043  0.6831765  0.8521549
  0.6    0.14641026  0.8466020  0.6831765  0.8525185
  0.6    0.15128205  0.8441036  0.6820000  0.8525185
  0.6    0.15615385  0.8430352  0.6814118  0.8525185
  0.6    0.16102564  0.8417018  0.6814118  0.8525185
  0.6    0.16589744  0.8402419  0.6814118  0.8525185
  0.6    0.17076923  0.8397784  0.6814118  0.8525185
  0.6    0.17564103  0.8393477  0.6814118  0.8525185
  0.6    0.18051282  0.8391161  0.6814118  0.8525185
  0.6    0.18538462  0.8388541  0.6814118  0.8525185
  0.6    0.19025641  0.8389419  0.6814118  0.8525185
  0.6    0.19512821  0.8367853  0.6814118  0.8525185
  0.6    0.20000000  0.8350971  0.6814118  0.8525185
 [ reached getOption("max.print") -- omitted 80 rows ]

ROC was used to select the optimal model using  the largest value.
The final values used for the model were alpha = 0.1 and lambda = 0.05384615.

plot(glmnetFit,plotType='level')

plot(varImp(glmnetFit))

densityplot(glmnetFit,pch='|')

predict(glmnetFit,type = 'prob') -> train.glmnet.Probs
histogram(~Survived+Dead,train.glmnet.Probs)

Compare models

re <-
    resamples(
    x = list(
    xgb = xgbFit,
    xgbsmote = xgbsmoteFit,
    xgbdown = xgbdownFit,
    rf = rfFit.y,
    rfsmote = rfsmoteFit.y,
    gbm = boostFit,
    elastinet=glmnetFit,
    crf = crfFit,
    crfFit_class= crfFit_class,
    xgbsmall=xgbsmallFit,
    cforest=cforestFit
    )
    )
# summary(re)
bwplot(re)

dotplot(re)

# summary(diff(re))

Calibration curves…

simulatedTrain <- data.frame(Class = train.imp$Survived)
simulatedTrain$rf = predict(rfFit.y,type = 'prob')[[1]]
simulatedTrain$rfsmote = predict(rfsmoteFit.y,type = 'prob')[[1]]
simulatedTrain$xgb = predict(xgbFit,type = 'prob')[[1]]
simulatedTrain$xgbsmote = predict(xgbsmoteFit,type = 'prob')[[1]]
simulatedTrain$boost = predict(boostFit,type = 'prob')[[1]]

calCurve <- calibration(x = Class~rf+rfsmote+xgb+xgbsmote+boost,data = simulatedTrain)
xyplot(calCurve,auto.key=list(columns=3))

Calibrating probabilities

boostsigmoidCal <- glm(relevel(Class,ref='Dead')~boost,simulatedTrain,family = 'binomial')
coef(summary(boostsigmoidCal))

             Estimate Std. Error   z value     Pr(>|z|)
(Intercept) -3.669148  0.2207273 -16.62299 4.750220e-62
boost        7.770855  0.4578102  16.97396 1.279925e-64

simulatedTrain$boostSig = predict(boostsigmoidCal,type = 'response')
xgbsmotesigmoidCal <- glm(relevel(Class,ref='Dead')~xgbsmote,simulatedTrain,family = 'binomial')
coef(summary(xgbsmotesigmoidCal))

             Estimate Std. Error   z value     Pr(>|z|)
(Intercept) -2.871536  0.1677890 -17.11397 1.167528e-65
xgbsmote     7.257433  0.4580111  15.84554 1.509220e-56

simulatedTrain$xgbsmoteSig = predict(xgbsmotesigmoidCal,type = 'response')
calibration(x = Class~boost+boostSig,data = simulatedTrain) %>%
    xyplot(auto.key=list(columns=2))

calibration(x = Class~xgbsmote+xgbsmoteSig,data = simulatedTrain) %>%
    xyplot(auto.key=list(columns=2))

Test Set Evaluation

Create test set

test.imp <- test.raw
#Embarked
test.imp$Embarked[is.na(test.imp$Embarked)]='S'
#Title
test.raw$title <- str_extract(pattern = '[a-zA-Z]+(?=\\.)',string = test.raw$Name)
#test.raw$title <- as.factor(test.raw$title)
test.imp$title <- as.character(test.raw$title)
test.imp$title[test.imp$title %in% c('Col','Major')] <- 'Officer'
test.imp$title[test.imp$title %in% c('Don','Dr','Rev','Sir','Jonkheer','Countess','Lady','Dona')] <- 'Royalty'
test.imp$title[test.imp$title %in% c('Mrs','Mme')] <- 'Mrs'
test.imp$title[test.imp$title %in% c('Ms','Mlle')] <- 'Miss'
test.imp$title <- as.factor(test.imp$title)
#Missing age
missing.age <- test.imp %>% filter(is.na(Age))
age.predicted <- predict(rfFit, newdata = missing.age)
test.imp$Age[is.na(test.imp$Age)] <- age.predicted
test.imp$Age[test.imp$title=='Master' & test.imp$Age > 20] <- 4
#Child
test.imp$child <- 0
test.imp$child[test.imp$Age<18] <- 1
test.imp$almostadult <- as.numeric(between(test.imp$Age,16,18))
#Young/old
test.imp$Young <- ifelse(test.imp$Age<10,1,0)
test.imp$Seniors <- ifelse(test.imp$Age>60,1,0)
#Family Related
test.imp$TotalFam <- test.imp$SibSp + test.imp$Parch + 1
test.imp$Name <- NULL
test.imp$LargeParCh <- as.numeric(test.imp$Parch>=3)
test.imp$LargeSibSp <- as.numeric(test.imp$SibSp>=3)
test.imp$Single <- ifelse(test.imp$TotalFam==1,1,0)
test.imp$Couple <- ifelse(test.imp$TotalFam==2,1,0)
test.imp$Family <- ifelse(test.imp$TotalFam>4,1,0)
#Cabin & Deck
test.imp$CabinMissing <- as.numeric(is.na(test.raw$Cabin))
test.imp$CabinCode <- map_chr(test.raw$Cabin,~str_split(string = .x,pattern = '')[[1]][1])
test.imp$CabinCode[is.na(test.imp$CabinCode)] <- 'U'
test.imp$CabinNum <- as.numeric(map_chr(test.raw$Cabin,~str_split(string = .x,pattern = '[a-zA-Z]')[[1]][2]))
test.imp$CabinNum <- map_int(test.imp$CabinNum, ~as.integer(str_split(.x,pattern = '',simplify = T)[1][1]))
test.imp$CabinNum[is.na(test.imp$CabinNum)] <- 0
test.imp$CabinCode <- factor(
    x = test.imp$CabinCode,
    levels = unique(train.imp$CabinCode)
)
test.imp$TopDeck <- ifelse(test.imp$CabinCode %in% c('A','B'),1,0)
test.imp$MidDeck <- ifelse(test.imp$CabinCode %in% c('C','D'),1,0)
test.imp$LowerDeck <- ifelse(test.imp$TopDeck==0 & test.imp$MidDeck ==0 ,1,0)
test.imp$NumberofCabins <- map_int(test.raw$Cabin,~str_split(string = .x,pattern = ' ')[[1]] %>% length)
test.imp$Cabin <- NULL
# Ticket
test.imp %<>%
    mutate(
      Ticket = str_to_upper(Ticket) %>%
          str_replace_all(pattern = regex(pattern = '[.\\/]'),replacement = ''),
      TicketNum = str_extract(Ticket,pattern = regex('([0-9]){3,}')),
      TicketNumStart = map_int(TicketNum,~as.integer(str_split(.x,pattern = '',simplify = T)[1])),
      TicketNumLen = map_int(TicketNum,~dim(str_split(.x,pattern = '',simplify = T))[2]),
      TicketChar = str_extract(Ticket,pattern = regex('^[a-zA-Z/\\.]+'))
      ) %>%
    mutate(
        TicketChar = map_chr(.x=TicketChar,
                             .f=~str_split(string=.x, pattern = '',simplify = T)[1])
        ) %>%  
    mutate(
      TicketChar = ifelse(is.na(TicketChar),'U',TicketChar),
      TicketNumStart = ifelse(is.na(TicketNumStart),0,TicketNumStart),
      TicketNumLen = ifelse(is.na(TicketNumLen),0,TicketNumLen),
    )
test.imp$Ticket <- NULL
test.imp$TicketNum <- NULL
#Fare
test.imp$Fare[is.na(test.imp$Fare)] <- 14.4542
# test.imp$Fare[test.imp$Fare>232] <- 232

Predict test results

dumV <- dummyVars(formula = ~.,data = test.imp)
Dtest <- predict(dumV,test.imp)
boostPred <- ifelse(predict(boostFit$finalModel,newdata = Dtest,n.trees = boostFit$bestTune$n.trees,type = 'response')>0.5,1,2)

Combined data… ensemble voting model…

d <- data.frame(boostPred,xgbPred,rfPred,xgbsmotePred,rfsmotePred,boostSigPred,crfPred,crfClassPred)
map_df(d,~as.numeric(.x)*-1+2) -> d
d %<>% 
    mutate(Avg=rowMeans(.),
           Sums = rowSums(.),
           EnsembleVote = as.numeric(Sums>4))
ensemblePred <- d$EnsembleVote

Write results

PID <-
    readData(Titanic.path,
    test.data.file,
    test.column.types,
    missing.types)
PID <- PID$PassengerId

for(m in ls(pattern = 'Pred')) {
    write.csv(
    x = data.frame(
    PassengerId = PID,
    Survived = as.numeric(eval(parse(text = m))) * -1 + 2
    ),
    file = paste0(m,'.csv'),
    row.names = F
    )
}

Conclusions

Misc - delete later…

d %<>% 
    mutate(Avg=rowMeans(.),
           Sums = rowSums(.),
           EnsembleVote = as.numeric(Sums>4))

Error in d %<>% mutate(Avg = rowMeans(.), Sums = rowSums(.), EnsembleVote = as.numeric(Sums >  : 
  could not find function "%<>%"

---

1. I think this approach depends on the academic background and the industry of the analyst. Prof Srinivasan, and my mentor at work both have strong statistical academic backgrounds, and both believe in thorough EDA of the data. I’ve also noticed this approach from individuals in the banking & insurance industry - perhaps due to regulatory requirements. On the other hand, folks trained in computer science and algorithmic data science tend to underplay the importance of thorough EDA.↩

2. To iterate variable names in ggplot, use ggplot(...)+aes_string(...) in place of ggplot(...,aes(...)).↩

3. Read more about beanplots here: https://cran.r-project.org/web/packages/beanplot/vignettes/beanplot.pdf↩